Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review

Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients. Its potential to improve the accuracy and speed of dental procedures is set to revolutionize dental care. The use of AI in computer-aided desi...

Full description

Saved in:
Bibliographic Details
Published in:PeerJ (San Francisco, CA) Vol. 12; p. e17793
Main Authors: Yeslam, Hanin E., Freifrau von Maltzahn, Nadine, Nassar, Hani M.
Format: Journal Article
Language:English
Published: United States PeerJ. Ltd 19.07.2024
PeerJ Inc
Subjects:
Artificial Intelligence
Biotechnology
CAD-CAM systems
CAD-CAM systems industry
CAD/CAM
Computer programs
Computer-Aided Design
Data Mining and Machine Learning
Data Science
Dental Materials
Dental Prosthesis Design - methods
Dental Restoration, Permanent - methods
Dentistry
Digital dentistry
Economic development
Geospatial data
Human-Computer Interaction
Humans
International economic relations
Machine learning
Real estate development
Restorative dentistry
Virtual reality
Dental materials
Neural networks
CAD/CAM
Machine learning
Virtual reality
Digital dentistry
Restorative dentistry
Artificial intelligence
ISSN:2167-8359, 2167-8359
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients. Its potential to improve the accuracy and speed of dental procedures is set to revolutionize dental care. The use of AI in computer-aided design/computer-aided manufacturing (CAD/CAM) within the restorative dental and material science fields offers numerous benefits, providing a new dimension to these practices. This study aims to provide a concise overview of the implementation of AI-powered technologies in CAD/CAM restorative dental procedures and materials. A comprehensive literature search was conducted using keywords from 2000 to 2023 to obtain pertinent information. This method was implemented to guarantee a thorough investigation of the subject matter. Keywords included; “Artificial Intelligence”, “Machine Learning”, “Neural Networks”, “Virtual Reality”, “Digital Dentistry”, “CAD/CAM”, and “Restorative Dentistry”. Artificial intelligence in digital restorative dentistry has proven to be highly beneficial in various dental CAD/CAM applications. It helps in automating and incorporating esthetic factors, occlusal schemes, and previous practitioners’ CAD choices in fabricating dental restorations. AI can also predict the debonding risk of CAD/CAM restorations and the compositional effects on the mechanical properties of its materials. Continuous enhancements are being made to overcome its limitations and open new possibilities for future developments in this field.
AbstractList Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients. Its potential to improve the accuracy and speed of dental procedures is set to revolutionize dental care. The use of AI in computer-aided design/computer-aided manufacturing (CAD/CAM) within the restorative dental and material science fields offers numerous benefits, providing a new dimension to these practices. This study aims to provide a concise overview of the implementation of AI-powered technologies in CAD/CAM restorative dental procedures and materials. A comprehensive literature search was conducted using keywords from 2000 to 2023 to obtain pertinent information. This method was implemented to guarantee a thorough investigation of the subject matter. Keywords included; "Artificial Intelligence", "Machine Learning", "Neural Networks", "Virtual Reality", "Digital Dentistry", "CAD/CAM", and "Restorative Dentistry". Artificial intelligence in digital restorative dentistry has proven to be highly beneficial in various dental CAD/CAM applications. It helps in automating and incorporating esthetic factors, occlusal schemes, and previous practitioners' CAD choices in fabricating dental restorations. AI can also predict the debonding risk of CAD/CAM restorations and the compositional effects on the mechanical properties of its materials. Continuous enhancements are being made to overcome its limitations and open new possibilities for future developments in this field.Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients. Its potential to improve the accuracy and speed of dental procedures is set to revolutionize dental care. The use of AI in computer-aided design/computer-aided manufacturing (CAD/CAM) within the restorative dental and material science fields offers numerous benefits, providing a new dimension to these practices. This study aims to provide a concise overview of the implementation of AI-powered technologies in CAD/CAM restorative dental procedures and materials. A comprehensive literature search was conducted using keywords from 2000 to 2023 to obtain pertinent information. This method was implemented to guarantee a thorough investigation of the subject matter. Keywords included; "Artificial Intelligence", "Machine Learning", "Neural Networks", "Virtual Reality", "Digital Dentistry", "CAD/CAM", and "Restorative Dentistry". Artificial intelligence in digital restorative dentistry has proven to be highly beneficial in various dental CAD/CAM applications. It helps in automating and incorporating esthetic factors, occlusal schemes, and previous practitioners' CAD choices in fabricating dental restorations. AI can also predict the debonding risk of CAD/CAM restorations and the compositional effects on the mechanical properties of its materials. Continuous enhancements are being made to overcome its limitations and open new possibilities for future developments in this field.
Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients. Its potential to improve the accuracy and speed of dental procedures is set to revolutionize dental care. The use of AI in computer-aided design/computer-aided manufacturing (CAD/CAM) within the restorative dental and material science fields offers numerous benefits, providing a new dimension to these practices. This study aims to provide a concise overview of the implementation of AI-powered technologies in CAD/CAM restorative dental procedures and materials. A comprehensive literature search was conducted using keywords from 2000 to 2023 to obtain pertinent information. This method was implemented to guarantee a thorough investigation of the subject matter. Keywords included; "Artificial Intelligence", "Machine Learning", "Neural Networks", "Virtual Reality", "Digital Dentistry", "CAD/CAM", and "Restorative Dentistry". Artificial intelligence in digital restorative dentistry has proven to be highly beneficial in various dental CAD/CAM applications. It helps in automating and incorporating esthetic factors, occlusal schemes, and previous practitioners' CAD choices in fabricating dental restorations. AI can also predict the debonding risk of CAD/CAM restorations and the compositional effects on the mechanical properties of its materials. Continuous enhancements are being made to overcome its limitations and open new possibilities for future developments in this field.
ArticleNumber e17793
Audience Academic
Author Yeslam, Hanin E.
Freifrau von Maltzahn, Nadine
Nassar, Hani M.
Author_xml – sequence: 1
  givenname: Hanin E.
  orcidid: 0000-0001-5906-8382
  surname: Yeslam
  fullname: Yeslam, Hanin E.
  organization: Department of Restorative Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia
– sequence: 2
  givenname: Nadine
  surname: Freifrau von Maltzahn
  fullname: Freifrau von Maltzahn, Nadine
  organization: Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hanover, Germany
– sequence: 3
  givenname: Hani M.
  surname: Nassar
  fullname: Nassar, Hani M.
  organization: Department of Restorative Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia
BackLink https://www.ncbi.nlm.nih.gov/pubmed/39040936$$D View this record in MEDLINE/PubMed
BookMark eNptktuLEzEUxgdZcdd1n3yXgCCCtJvLTDLji5R6W1gRRJ9DLidtyjSpybSLvvmfm15cWtnkIeHkd76cnHxPq7MQA1TVc4LHQhBxvQJIizERomOPqgtKuBi1rOnOjvbn1VXOC1xGSzlu2ZPqnHW4xh3jF9Wfb7CJ_XrwMfjfPszQdPL-ejr5MtIqg0UJ8hCTGvwGkIUwqB6tUjSQM2SkgkVLNUDyqs_ozg9zpNLgnTclgHwYoO_9DIKBt0ghE4PxGVBQ6SCYYOPh7ln12JV8uDqsl9WPjx--Tz-Pbr9-uplObkemqfkwskQYZo1VXW2Iazi1gomWqLoTBjQ2QDW3lhJwhreq40rbDlSrKSG4qZ1ml9XNXtdGtZCr5Jcq_ZJRebkLxDST2-pNDxIz6kAzjLVmtWhAE2cM1jXvmAPeiKL1bq-1WuslWFM6k1R_Inp6EvxczuJGEkI5ZZgUhdcHhRR_rkuX5dJnUxqmAsR1lqx8FG8JbVhBX-7RmSq1-eBikTRbXE5awmracUYLNX6AKtPC0pfeg_MlfpLw6ihhDqof5vlghXwKvjh-7P0r_5moAG_2gEkx5wTuHiFYbl0qdy6VO5cWmvxHGz-o7a2lYN8_mPMXmXHtCA
CitedBy_id crossref_primary_10_3390_dj13090435
crossref_primary_10_3390_healthcare13101155
crossref_primary_10_63580_iti_fi_45747
crossref_primary_10_4103_jpbs_jpbs_610_25
crossref_primary_10_20965_ijat_2025_p0750
crossref_primary_10_21802_artm_2025_2_34_96
crossref_primary_10_3390_jcm14113859
crossref_primary_10_1016_j_jdent_2025_106131
crossref_primary_10_22141_ogh_6_2_2025_223
crossref_primary_10_3390_app15147943
Cites_doi 10.1016/j.jmbbm.2023.105984
10.3390/healthcare11030347
10.3390/ijerph15112357
10.1016/j.ajoms.2022.12.010
10.1016/j.prosdent.2019.10.015
10.1016/j.dental.2019.10.010
10.1016/j.jmrt.2023.07.257
10.1016/j.dental.2023.10.013
10.1007/978-3-030-41091-9_9
10.1159/000524167
10.2186/jpr.JPR_D_22_00194
10.1016/j.rineng.2022.100478
10.1016/j.jebdp.2023.101837
10.3389/fphys.2023.1088703
10.1016/j.jdent.2023.104485
10.1016/j.dental.2019.08.103
10.1177/00220345221089251
10.1111/jerd.12844
10.1016/j.neucom.2020.07.061
10.3390/s21196628
10.1109/ACCESS.2020.3034689
10.1111/idj.12373
10.1111/j.1834-7819.2010.01300.x
10.1016/j.bjoms.2009.05.009
10.9734/jpri/2022/v34i53B7228
10.3390/diagnostics13020226
10.1016/j.dental.2023.02.001
10.3390/dj11010001
10.4103/jispcd.JISPCD_35_22
10.1016/j.prosdent.2022.12.004
10.1364/AO.49.000422
10.1016/j.cden.2022.05.006
10.1016/j.jmbbm.2021.104512
10.1177/0022034519867641
10.1016/j.compbiomed.2020.103646
10.1016/j.inffus.2019.12.012
10.1111/jopr.13240
10.1016/j.joen.2022.04.007
10.1259/dmfr.20210197
10.1007/978-3-030-75945-2_4
10.1016/j.prosdent.2021.02.010
10.3390/app12199819
10.3390/s22062156
10.1007/978-981-16-5281-3_48
10.1038/s41586-018-0337-2
10.1038/s41598-023-27808-9
10.1016/j.cden.2022.02.008
10.1126/science.aax2342
10.1016/j.bspc.2022.103954
10.1364/AO.38.004354
10.1177/00220345221106086
10.1038/npjcompumats.2016.28
10.1016/j.prosdent.2021.06.001
10.1056/NEJMp1606181
10.1186/s12903-023-03389-x
10.1155/2014/783948
10.7860/JCDR/2014/8929.4648
10.1016/j.jdent.2022.104080
10.3390/coatings12060837
10.1088/1757-899X/1259/1/012018
10.1186/s12893-023-01959-y
10.1111/jerd.13007
10.1177/0022034519875450
10.3390/diagnostics12051029
10.1177/0022034518779759
10.1126/scirobotics.abg5575
10.22038/jdmt.2017.26351.1213
10.18203/2349-3933.ijam20220444
10.1088/1757-899X/200/1/012020
10.1155/2022/7541583
10.3390/healthcare10112188
10.7759/cureus.30962
10.1103/RevModPhys.91.045002
10.1016/j.dental.2020.03.021
10.3390/bioengineering10060663
10.1557/mrc.2019.32
10.1186/s12903-020-1062-4
10.1111/jerd.13044
10.1038/s41598-023-28442-1
10.23805/JO.2022.14.22
10.1080/13102818.2008.10817506
10.1007/s00784-016-1902-4
10.1016/S0167-7012(00)00201-3
10.3390/healthcare10071269
10.1177/00220345221113756
10.1016/j.neucom.2021.08.138
10.3389/fdmed.2023.1085251
10.11607/prd.6733
10.21037/qims-22-457
10.1016/j.jdent.2022.104115
10.1016/j.jdent.2023.104830
10.1177/0022034520915714
10.1016/j.pdpdt.2022.103217
10.1016/j.jdent.2022.103947
10.3390/molecules27134035
10.1016/j.actbio.2022.02.027
10.3390/electronics10030318
10.1136/bmj.n71
10.3390/diagnostics12051083
10.1016/j.inffus.2021.07.016
10.1051/e3sconf/202129701074
10.1155/2022/5032435
10.1186/s12903-023-03829-8
10.1016/j.jpor.2016.01.003
10.1109/JBHI.2021.3119394
10.3390/healthcare9020118
10.3390/diagnostics12020237
10.1371/journal.pone.0227050
ContentType Journal Article
Copyright 2024 Yeslam et al.
COPYRIGHT 2024 PeerJ. Ltd.
2024 Yeslam et al. 2024 Yeslam et al.
Copyright_xml – notice: 2024 Yeslam et al.
– notice: COPYRIGHT 2024 PeerJ. Ltd.
– notice: 2024 Yeslam et al. 2024 Yeslam et al.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOA
DOI 10.7717/peerj.17793
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
MEDLINE




CrossRef
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: 7X8
  name: MEDLINE - Academic
  url: https://search.proquest.com/medline
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Dentistry
EISSN 2167-8359
ExternalDocumentID oai_doaj_org_article_032feb300bb3475eb1fcc0b4693fe657
PMC11262301
A813429632
39040936
10_7717_peerj_17793
Genre Journal Article
Review
GrantInformation_xml – fundername: Institutional Fund
  grantid: IFPRP: 609-165-1442
– fundername: Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia
GroupedDBID 53G
5VS
88I
8FE
8FH
AAFWJ
AAYXX
ABUWG
ADBBV
ADRAZ
AENEX
AFFHD
AFKRA
AFPKN
ALMA_UNASSIGNED_HOLDINGS
AOIJS
AZQEC
BAWUL
BBNVY
BCNDV
BENPR
BHPHI
BPHCQ
CCPQU
CITATION
DIK
DWQXO
ECGQY
GNUQQ
GROUPED_DOAJ
GX1
HCIFZ
HYE
IAO
IEA
IHR
IHW
ITC
KQ8
LK8
M2P
M48
M7P
M~E
OK1
PHGZM
PHGZT
PIMPY
PQGLB
PQQKQ
PROAC
RPM
W2D
YAO
CGR
CUY
CVF
ECM
EIF
H13
NPM
7X8
PUEGO
5PM
ID FETCH-LOGICAL-c546t-d17c3dcda94c1f562d73781a497ceb0ce2b6dd21efc68a96abd9ea8b211054fb3
IEDL.DBID DOA
ISICitedReferencesCount 13
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001273867500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2167-8359
IngestDate Fri Oct 03 12:41:32 EDT 2025
Tue Nov 04 02:05:33 EST 2025
Thu Oct 02 08:06:01 EDT 2025
Tue Nov 11 10:55:16 EST 2025
Tue Nov 04 18:17:54 EST 2025
Thu May 22 21:24:32 EDT 2025
Mon Jul 21 06:04:23 EDT 2025
Tue Nov 18 21:46:34 EST 2025
Sat Nov 29 05:32:16 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords Dental materials
Neural networks
CAD/CAM
Machine learning
Virtual reality
Digital dentistry
Restorative dentistry
Artificial intelligence
Language English
License https://creativecommons.org/licenses/by/4.0
2024 Yeslam et al.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c546t-d17c3dcda94c1f562d73781a497ceb0ce2b6dd21efc68a96abd9ea8b211054fb3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
content type line 23
ORCID 0000-0001-5906-8382
OpenAccessLink https://doaj.org/article/032feb300bb3475eb1fcc0b4693fe657
PMID 39040936
PQID 3083681253
PQPubID 23479
ParticipantIDs doaj_primary_oai_doaj_org_article_032feb300bb3475eb1fcc0b4693fe657
pubmedcentral_primary_oai_pubmedcentral_nih_gov_11262301
proquest_miscellaneous_3083681253
gale_infotracmisc_A813429632
gale_infotracacademiconefile_A813429632
gale_healthsolutions_A813429632
pubmed_primary_39040936
crossref_primary_10_7717_peerj_17793
crossref_citationtrail_10_7717_peerj_17793
PublicationCentury 2000
PublicationDate 2024-07-19
PublicationDateYYYYMMDD 2024-07-19
PublicationDate_xml – month: 07
  year: 2024
  text: 2024-07-19
  day: 19
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: San Diego, USA
PublicationTitle PeerJ (San Francisco, CA)
PublicationTitleAlternate PeerJ
PublicationYear 2024
Publisher PeerJ. Ltd
PeerJ Inc
Publisher_xml – name: PeerJ. Ltd
– name: PeerJ Inc
References Saleh (10.7717/peerj.17793/ref-89) 2022; 67
Oldhoff (10.7717/peerj.17793/ref-73) 2021; 119
Cho (10.7717/peerj.17793/ref-21) 2024; 141
Alzahrani (10.7717/peerj.17793/ref-8) 2023; 10
Li (10.7717/peerj.17793/ref-57) 2022; 101
Revilla-Leon (10.7717/peerj.17793/ref-84) 2022; 128
Qayyum (10.7717/peerj.17793/ref-80) 2023; 13
Liu (10.7717/peerj.17793/ref-59) 2024; 40
Mangano (10.7717/peerj.17793/ref-62) 2023; 133
Khanagar (10.7717/peerj.17793/ref-49) 2022a; 12
Leeson (10.7717/peerj.17793/ref-54) 2020; 36
Deng (10.7717/peerj.17793/ref-24) 2023; 23
Güth (10.7717/peerj.17793/ref-40) 2017; 21
Singi (10.7717/peerj.17793/ref-94) 2022; 14
Tran (10.7717/peerj.17793/ref-102) 2022; 12
Yang (10.7717/peerj.17793/ref-114) 2020; 415
Spitznagel (10.7717/peerj.17793/ref-95) 2018; 97
Ward (10.7717/peerj.17793/ref-108) 2016; 2
Gurel (10.7717/peerj.17793/ref-39) 2020
Schwendicke (10.7717/peerj.17793/ref-91) 2022a; 101
Yamaguchi (10.7717/peerj.17793/ref-111) 2019; 98
Alikhasi (10.7717/peerj.17793/ref-6) 2022; 66
Ding (10.7717/peerj.17793/ref-26) 2023b; 4
Schwendicke (10.7717/peerj.17793/ref-93) 2020; 99
Prasad (10.7717/peerj.17793/ref-78) 2023; 11
Schwendicke (10.7717/peerj.17793/ref-92) 2022b; 119
Lepidi (10.7717/peerj.17793/ref-55) 2021; 30
Kulin (10.7717/peerj.17793/ref-53) 2021; 10
Wang (10.7717/peerj.17793/ref-106) 2023b; 26
Jain (10.7717/peerj.17793/ref-45) 2016; 2
Ma (10.7717/peerj.17793/ref-61) 2022; 101
Reyes (10.7717/peerj.17793/ref-87) 2022; 56
Zhang (10.7717/peerj.17793/ref-117) 2023b; 14
Jiao (10.7717/peerj.17793/ref-46) 2004; 17
Roongruangsilp (10.7717/peerj.17793/ref-88) 2022; 14
Lin (10.7717/peerj.17793/ref-58) 2023; 23
Pareek (10.7717/peerj.17793/ref-76) 2022; 9
Bernauer (10.7717/peerj.17793/ref-13) 2021; 21
Thurzo (10.7717/peerj.17793/ref-98) 2022a; 27
Basu (10.7717/peerj.17793/ref-12) 2022; 143
Carleo (10.7717/peerj.17793/ref-17) 2019; 91
Abduo (10.7717/peerj.17793/ref-2) 2014; 2014
Regassa Hunde (10.7717/peerj.17793/ref-82) 2022; 14
Feng (10.7717/peerj.17793/ref-33) 2010; 48
Farook (10.7717/peerj.17793/ref-29) 2023; 13
Fatima (10.7717/peerj.17793/ref-32) 2023; 11
Coachman (10.7717/peerj.17793/ref-23) 2020; 124
Grischke (10.7717/peerj.17793/ref-35) 2020; 36
Obermeyer (10.7717/peerj.17793/ref-72) 2019; 366
Fatima (10.7717/peerj.17793/ref-31) 2022; 10
Rekow (10.7717/peerj.17793/ref-83) 2020; 36
Obermeyer (10.7717/peerj.17793/ref-71) 2016; 375
Fang (10.7717/peerj.17793/ref-28) 2021; 6
Grymak (10.7717/peerj.17793/ref-36) 2023; 144
Revilla-León (10.7717/peerj.17793/ref-86) 2023; 35
Revilla-León (10.7717/peerj.17793/ref-85) 2021; 129
Gur (10.7717/peerj.17793/ref-38) 1999; 38
Uzun (10.7717/peerj.17793/ref-104) 2008; 22
Ding (10.7717/peerj.17793/ref-25) 2023a; 39
Wang (10.7717/peerj.17793/ref-107) 2023a; 41
Alghazzawi (10.7717/peerj.17793/ref-5) 2016; 60
Brown (10.7717/peerj.17793/ref-15) 2019; 10
Chau (10.7717/peerj.17793/ref-19) 2023; 131
Carrillo-Perez (10.7717/peerj.17793/ref-18) 2022; 34
Watanabe (10.7717/peerj.17793/ref-109) 2022; 66
Tian (10.7717/peerj.17793/ref-100) 2021; 26
Basheer (10.7717/peerj.17793/ref-11) 2000; 43
Zhang (10.7717/peerj.17793/ref-118) 2022; 12
Mushtaq (10.7717/peerj.17793/ref-68) 2022; 34
World Dental Federation FDI (10.7717/peerj.17793/ref-110) 2018; 68
Mohammad-Rahimi (10.7717/peerj.17793/ref-66) 2022; 122
Herrera (10.7717/peerj.17793/ref-43) 2010; 49
Lerner (10.7717/peerj.17793/ref-56) 2020; 20
Tian (10.7717/peerj.17793/ref-101) 2022; 78
Alqutaibi (10.7717/peerj.17793/ref-7) 2023; 23
Farook (10.7717/peerj.17793/ref-30) 2020; 118
Hashem (10.7717/peerj.17793/ref-42) 2020; 8
Miyazaki (10.7717/peerj.17793/ref-65) 2011; 56
Schlenz (10.7717/peerj.17793/ref-90) 2022; 22
Mayta-Tovalino (10.7717/peerj.17793/ref-64) 2023; 13
Aijaz (10.7717/peerj.17793/ref-3) 2022; 2022
Khanagar (10.7717/peerj.17793/ref-50) 2022b; 12
Luthra (10.7717/peerj.17793/ref-60) 2015; 3
Susic (10.7717/peerj.17793/ref-96) 2017; 200
Babu (10.7717/peerj.17793/ref-9) 2021; 297
Moran (10.7717/peerj.17793/ref-67) 2022
Alauddin (10.7717/peerj.17793/ref-4) 2021; 9
Maruta (10.7717/peerj.17793/ref-63) 2023; 35
Hajjaj (10.7717/peerj.17793/ref-41) 2024; 24
Patil (10.7717/peerj.17793/ref-77) 2022; 12
CIMsystem (10.7717/peerj.17793/ref-22) 2021
Duret (10.7717/peerj.17793/ref-27) 1991; 45
Khan (10.7717/peerj.17793/ref-48) 2022; 468
Upmanyu (10.7717/peerj.17793/ref-103) 2022
Yang (10.7717/peerj.17793/ref-115) 2022a; 77
Chen (10.7717/peerj.17793/ref-20) 2019; 9
Blatz (10.7717/peerj.17793/ref-14) 2019; 98
Yang (10.7717/peerj.17793/ref-112) 2022b; 48
Putra (10.7717/peerj.17793/ref-79) 2022; 51
Butler (10.7717/peerj.17793/ref-16) 2018; 559
Talpur (10.7717/peerj.17793/ref-97) 2022; 2022
Naidu (10.7717/peerj.17793/ref-69) 2022; 1259
Thurzo (10.7717/peerj.17793/ref-99) 2022b; 10
Zhang (10.7717/peerj.17793/ref-116) 2023a; 13
Kose (10.7717/peerj.17793/ref-52) 2023; 35
Koralakunte (10.7717/peerj.17793/ref-51) 2014; 8
Barredo Arrieta (10.7717/peerj.17793/ref-10) 2020; 58
Abdullah (10.7717/peerj.17793/ref-1) 2018; 7
Giglio (10.7717/peerj.17793/ref-34) 2024; 44
Joda (10.7717/peerj.17793/ref-47) 2018; 15
Ng (10.7717/peerj.17793/ref-70) 1995
Imagoworks (10.7717/peerj.17793/ref-44) 2022; 43
Oztekin (10.7717/peerj.17793/ref-74) 2023; 13
Grzebieluch (10.7717/peerj.17793/ref-37) 2022; 12
Qu (10.7717/peerj.17793/ref-81) 2022; 118
Wang (10.7717/peerj.17793/ref-105) 2020; 15
Yang (10.7717/peerj.17793/ref-113) 2021
Page (10.7717/peerj.17793/ref-75) 2021; 372
References_xml – volume: 144
  start-page: 105984
  year: 2023
  ident: 10.7717/peerj.17793/ref-36
  article-title: Development of predictive algorithms for the wear resistance of denture teeth materials
  publication-title: Journal of the Mechanical Behavior of Biomedical Materials
  doi: 10.1016/j.jmbbm.2023.105984
– volume: 11
  start-page: 347
  issue: 3
  year: 2023
  ident: 10.7717/peerj.17793/ref-32
  article-title: Deep learning-based multiclass instance segmentation for dental lesion detection
  publication-title: Healthcare
  doi: 10.3390/healthcare11030347
– volume: 15
  start-page: 2357
  issue: 11
  year: 2018
  ident: 10.7717/peerj.17793/ref-47
  article-title: Population-based linkage of big data in dental research
  publication-title: International Journal of Environmental Research and Public Health
  doi: 10.3390/ijerph15112357
– volume: 35
  start-page: 327
  issue: 4
  year: 2023
  ident: 10.7717/peerj.17793/ref-63
  article-title: Automatic machine learning-based classification of mandibular third molar impaction status
  publication-title: Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology
  doi: 10.1016/j.ajoms.2022.12.010
– volume: 124
  start-page: 514
  issue: 5
  year: 2020
  ident: 10.7717/peerj.17793/ref-23
  article-title: Chairside 3D digital design and trial restoration workflow
  publication-title: The Journal of Prosthetic Dentistry
  doi: 10.1016/j.prosdent.2019.10.015
– start-page: 448
  year: 2021
  ident: 10.7717/peerj.17793/ref-113
  article-title: Exploring instance-level uncertainty for medical detection
– volume: 36
  start-page: 43
  issue: 1
  year: 2020
  ident: 10.7717/peerj.17793/ref-54
  article-title: The digital factory in both the modern dental lab and clinic
  publication-title: Dental Materials
  doi: 10.1016/j.dental.2019.10.010
– volume: 26
  start-page: 1028
  issue: 8
  year: 2023b
  ident: 10.7717/peerj.17793/ref-106
  article-title: Recent progress in additive manufacturing of ceramic dental restorations
  publication-title: Journal of Materials Research and Technology
  doi: 10.1016/j.jmrt.2023.07.257
– volume: 40
  start-page: 19
  issue: 1
  year: 2024
  ident: 10.7717/peerj.17793/ref-59
  article-title: Evaluation of the efficiency, trueness, and clinical application of novel artificial intelligence design for dental crown prostheses
  publication-title: Dental Materials
  doi: 10.1016/j.dental.2023.10.013
– volume: 45
  start-page: 431
  year: 1991
  ident: 10.7717/peerj.17793/ref-27
  article-title: Dental CAD-CAM six years after the first presentation at the 1985 A.D.F. Congress
  publication-title: Actual Odontostomatol
– start-page: 235
  volume-title: Esthetic Oral Rehabilitation with Veneers: A Guide to Treatment Preparation and Clinical Concepts
  year: 2020
  ident: 10.7717/peerj.17793/ref-39
  article-title: The artificial intelligence-based 3D smile design: REBEL
  doi: 10.1007/978-3-030-41091-9_9
– volume: 56
  start-page: 161
  issue: 3
  year: 2022
  ident: 10.7717/peerj.17793/ref-87
  article-title: Machine learning in the diagnosis and prognostic prediction of dental caries: a systematic review
  publication-title: Caries Research
  doi: 10.1159/000524167
– volume: 67
  start-page: 468
  issue: 3
  year: 2022
  ident: 10.7717/peerj.17793/ref-89
  article-title: Emergence angle: comprehensive analysis and machine learning prediction for clinical application
  publication-title: Journal of Prosthodontic Research
  doi: 10.2186/jpr.JPR_D_22_00194
– volume: 14
  start-page: 100478
  issue: 3
  year: 2022
  ident: 10.7717/peerj.17793/ref-82
  article-title: Future prospects of computer-aided design (CAD)—a review from the perspective of artificial intelligence (AI), extended reality, and 3D printing
  publication-title: Results in Engineering
  doi: 10.1016/j.rineng.2022.100478
– volume: 23
  start-page: 101837
  year: 2023
  ident: 10.7717/peerj.17793/ref-7
  article-title: Artificial intelligence (AI) as an aid in restorative dentistry is promising, but still a work in progress
  publication-title: The Journal of Evidence-Based Dental Practice
  doi: 10.1016/j.jebdp.2023.101837
– volume: 14
  start-page: 1088703
  year: 2023b
  ident: 10.7717/peerj.17793/ref-117
  article-title: Study on machine learning of molar incisor hypomineralization in an endemic fluorosis region in central China
  publication-title: Frontiers in Physiology
  doi: 10.3389/fphys.2023.1088703
– year: 2021
  ident: 10.7717/peerj.17793/ref-22
  article-title: Efficiency and automation with AI DRIVEN, artificial intelligence applied to dental manufacturing
– volume: 133
  start-page: 104485
  issue: S1
  year: 2023
  ident: 10.7717/peerj.17793/ref-62
  article-title: Artificial intelligence and augmented reality for guided implant surgery planning: a proof of concept
  publication-title: Journal of Dentistry
  doi: 10.1016/j.jdent.2023.104485
– volume: 36
  start-page: 9
  issue: 1
  year: 2020
  ident: 10.7717/peerj.17793/ref-83
  article-title: Digital dentistry: the new state of the art—is it disruptive or destructive?
  publication-title: Dental Materials
  doi: 10.1016/j.dental.2019.08.103
– volume: 101
  start-page: 1363
  issue: 11
  year: 2022
  ident: 10.7717/peerj.17793/ref-57
  article-title: Interpretable AI explores effective components of CAD/CAM resin composites
  publication-title: Journal of Dental Research
  doi: 10.1177/00220345221089251
– volume: 12
  start-page: 12
  issue: 7
  year: 2022
  ident: 10.7717/peerj.17793/ref-102
  article-title: AI isn’t science fiction: it’s digital design’s reality deep learning proves effective in designing crowns
  publication-title: Inside Dental Technology
– volume: 34
  start-page: 259
  issue: 1
  year: 2022
  ident: 10.7717/peerj.17793/ref-18
  article-title: Applications of artificial intelligence in dentistry: a comprehensive review
  publication-title: Journal of Esthetic and Restorative Dentistry
  doi: 10.1111/jerd.12844
– volume: 415
  start-page: 295
  issue: 1
  year: 2020
  ident: 10.7717/peerj.17793/ref-114
  article-title: On hyperparameter optimization of machine learning algorithms: theory and practice
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2020.07.061
– volume: 21
  start-page: 6628
  issue: 19
  year: 2021
  ident: 10.7717/peerj.17793/ref-13
  article-title: The use and performance of artificial intelligence in prosthodontics: a systematic review
  publication-title: Sensors
  doi: 10.3390/s21196628
– volume: 8
  year: 2020
  ident: 10.7717/peerj.17793/ref-42
  article-title: Improving the efficiency of dental implantation process using guided local search models and continuous time neural networks with robotic assistance
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.3034689
– volume: 68
  start-page: 18
  issue: 1
  year: 2018
  ident: 10.7717/peerj.17793/ref-110
  article-title: CAD/CAM dentistry: adopted by the FDI general assembly: August 2017, Madrid, Spain
  publication-title: International Dental Journal
  doi: 10.1111/idj.12373
– volume: 56
  start-page: 97
  issue: s1
  year: 2011
  ident: 10.7717/peerj.17793/ref-65
  article-title: CAD/CAM systems available for the fabrication of crown and bridge restorations
  publication-title: Australian Dental Journal
  doi: 10.1111/j.1834-7819.2010.01300.x
– volume: 48
  start-page: 105
  issue: 2
  year: 2010
  ident: 10.7717/peerj.17793/ref-33
  article-title: Computer-assisted technique for the design and manufacture of realistic facial prostheses
  publication-title: British Journal of Oral and Maxillofacial Surgery
  doi: 10.1016/j.bjoms.2009.05.009
– volume: 34
  start-page: 7
  year: 2022
  ident: 10.7717/peerj.17793/ref-68
  article-title: Artificial intelligence in dentistry: literature review
  publication-title: Journal of Pharmaceutical Research International
  doi: 10.9734/jpri/2022/v34i53B7228
– volume: 13
  start-page: 226
  issue: 2
  year: 2023
  ident: 10.7717/peerj.17793/ref-74
  article-title: An explainable deep learning model to prediction dental caries using panoramic radiograph images
  publication-title: Diagnostics (basel)
  doi: 10.3390/diagnostics13020226
– volume: 39
  start-page: 320
  issue: 3
  year: 2023a
  ident: 10.7717/peerj.17793/ref-25
  article-title: Morphology and mechanical performance of dental crown designed by 3D-DCGAN
  publication-title: Dental Materials
  doi: 10.1016/j.dental.2023.02.001
– volume: 11
  start-page: 1
  year: 2023
  ident: 10.7717/peerj.17793/ref-78
  article-title: Machine learning predictive model as clinical decision support system in orthodontic treatment planning
  publication-title: Dentistry Journal
  doi: 10.3390/dj11010001
– volume: 13
  start-page: 1
  issue: 1
  year: 2023
  ident: 10.7717/peerj.17793/ref-64
  article-title: Applications and perspectives of artificial intelligence, machine learning and “dentronics” in dentistry: a literature review
  publication-title: Journal of International Society of Preventive and Community Dentistry
  doi: 10.4103/jispcd.JISPCD_35_22
– volume: 131
  start-page: 1111
  issue: 6
  year: 2023
  ident: 10.7717/peerj.17793/ref-19
  article-title: Accuracy of artificial intelligence-designed single-molar dental prostheses: a feasibility study
  publication-title: The Journal of Prosthetic Dentistry
  doi: 10.1016/j.prosdent.2022.12.004
– volume: 49
  start-page: 422
  issue: 3
  year: 2010
  ident: 10.7717/peerj.17793/ref-43
  article-title: Prediction of color change after tooth bleaching using fuzzy logic for vita classical shades identification
  publication-title: Applied Optics
  doi: 10.1364/AO.49.000422
– volume: 66
  start-page: 567
  issue: 4
  year: 2022
  ident: 10.7717/peerj.17793/ref-109
  article-title: Digital technologies for restorative dentistry
  publication-title: Dental Clinics of North America
  doi: 10.1016/j.cden.2022.05.006
– volume: 119
  start-page: 104512
  issue: 2
  year: 2021
  ident: 10.7717/peerj.17793/ref-73
  article-title: Comparison in clinical performance of surgical guides for mandibular surgery and temporomandibular joint implants fabricated by additive manufacturing techniques
  publication-title: Journal of the Mechanical Behavior of Biomedical Materials
  doi: 10.1016/j.jmbbm.2021.104512
– volume: 98
  start-page: 1234
  issue: 11
  year: 2019
  ident: 10.7717/peerj.17793/ref-111
  article-title: Predicting the debonding of CAD/CAM composite resin crowns with AI
  publication-title: Journal of Dental Research
  doi: 10.1177/0022034519867641
– volume: 118
  start-page: 103646
  issue: 1
  year: 2020
  ident: 10.7717/peerj.17793/ref-30
  article-title: Designing 3D prosthetic templates for maxillofacial defect rehabilitation: a comparative analysis of different virtual workflows
  publication-title: Computers in Biology and Medicine
  doi: 10.1016/j.compbiomed.2020.103646
– volume: 58
  start-page: 82
  issue: 3
  year: 2020
  ident: 10.7717/peerj.17793/ref-10
  article-title: Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI
  publication-title: Information Fusion
  doi: 10.1016/j.inffus.2019.12.012
– volume: 30
  start-page: 24
  issue: 1
  year: 2021
  ident: 10.7717/peerj.17793/ref-55
  article-title: Virtual articulators and virtual mounting procedures: where do we stand?
  publication-title: Journal of Prosthodontics
  doi: 10.1111/jopr.13240
– volume: 48
  start-page: 914
  issue: 7
  year: 2022b
  ident: 10.7717/peerj.17793/ref-112
  article-title: Development and validation of a visually explainable deep learning model for classification of c-shaped canals of the mandibular second molars in periapical and panoramic dental radiographs
  publication-title: Journal of Endodontics
  doi: 10.1016/j.joen.2022.04.007
– volume: 51
  start-page: 20210197
  issue: 1
  year: 2022
  ident: 10.7717/peerj.17793/ref-79
  article-title: Current applications and development of artificial intelligence for digital dental radiography
  publication-title: Dentomaxillofacial Radiology
  doi: 10.1259/dmfr.20210197
– volume-title: Trends and Advancements of Image Processing and Its Applications. EAI/Springer Innovations in Communication and Computing
  year: 2022
  ident: 10.7717/peerj.17793/ref-67
  article-title: Combining image processing and artificial intelligence for dental image analysis: trends, challenges, and applications
  doi: 10.1007/978-3-030-75945-2_4
– volume: 10
  start-page: 30
  issue: 7
  year: 2019
  ident: 10.7717/peerj.17793/ref-15
  article-title: Artificial intelligence in dentistry not just science fiction anymore
  publication-title: Inside Dental Technology
– volume: 128
  start-page: 867
  issue: 5
  year: 2022
  ident: 10.7717/peerj.17793/ref-84
  article-title: Artificial intelligence applications in restorative dentistry: a systematic review
  publication-title: The Journal of Prosthetic Dentistry
  doi: 10.1016/j.prosdent.2021.02.010
– volume: 12
  start-page: 9819
  issue: 19
  year: 2022a
  ident: 10.7717/peerj.17793/ref-49
  article-title: Performance of artificial intelligence (AI) models designed for application in pediatric dentistry—a systematic review
  publication-title: Applied Sciences
  doi: 10.3390/app12199819
– volume: 22
  start-page: 2156
  year: 2022
  ident: 10.7717/peerj.17793/ref-90
  article-title: New caries diagnostic tools in intraoral scanners: a comparative in vitro study to established methods in permanent and primary teeth
  publication-title: Sensors
  doi: 10.3390/s22062156
– start-page: 495
  volume-title: Recent Advances in Industrial Production
  year: 2022
  ident: 10.7717/peerj.17793/ref-103
  article-title: Machine learning in CAD/CAM: what we think we know so far and what we don’t
  doi: 10.1007/978-981-16-5281-3_48
– volume: 559
  start-page: 547
  issue: 7715
  year: 2018
  ident: 10.7717/peerj.17793/ref-16
  article-title: Machine learning for molecular and materials science
  publication-title: Nature
  doi: 10.1038/s41586-018-0337-2
– volume: 13
  start-page: 749
  issue: 1
  year: 2023
  ident: 10.7717/peerj.17793/ref-80
  article-title: Dental caries detection using a semi-supervised learning approach
  publication-title: Scientific Reports
  doi: 10.1038/s41598-023-27808-9
– volume: 66
  start-page: 477
  issue: 3
  year: 2022
  ident: 10.7717/peerj.17793/ref-6
  article-title: Smile design: mechanical considerations
  publication-title: Dental Clinics of North America
  doi: 10.1016/j.cden.2022.02.008
– volume: 366
  start-page: 447
  issue: 6464
  year: 2019
  ident: 10.7717/peerj.17793/ref-72
  article-title: Dissecting racial bias in an algorithm used to manage the health of populations
  publication-title: Science
  doi: 10.1126/science.aax2342
– volume: 78
  start-page: 103954
  issue: 3
  year: 2022
  ident: 10.7717/peerj.17793/ref-101
  article-title: Efficient tooth gingival margin line reconstruction via adversarial learning
  publication-title: Biomedical Signal Processing and Control
  doi: 10.1016/j.bspc.2022.103954
– volume: 38
  start-page: 4354
  issue: 20
  year: 1999
  ident: 10.7717/peerj.17793/ref-38
  article-title: Optical implementation of fuzzy-logic controllers Part II
  publication-title: Applied Optics
  doi: 10.1364/AO.38.004354
– volume: 101
  start-page: 1263
  issue: 11
  year: 2022
  ident: 10.7717/peerj.17793/ref-61
  article-title: Towards trustworthy AI in dentistry
  publication-title: Journal of Dental Research
  doi: 10.1177/00220345221106086
– volume: 2
  start-page: 16028
  issue: 1
  year: 2016
  ident: 10.7717/peerj.17793/ref-108
  article-title: A general-purpose machine learning framework for predicting properties of inorganic materials
  publication-title: NPJ Computational Materials
  doi: 10.1038/npjcompumats.2016.28
– volume: 129
  start-page: 276
  issue: 2
  year: 2021
  ident: 10.7717/peerj.17793/ref-85
  article-title: Artificial intelligence models for tooth-supported fixed and removable prosthodontics: a systematic review
  publication-title: The Journal of Prosthetic Dentistry
  doi: 10.1016/j.prosdent.2021.06.001
– volume: 375
  start-page: 1216
  issue: 13
  year: 2016
  ident: 10.7717/peerj.17793/ref-71
  article-title: Predicting the future-big data, machine learning, and clinical medicine
  publication-title: New England Journal of Medicine
  doi: 10.1056/NEJMp1606181
– volume: 23
  start-page: 690
  year: 2023
  ident: 10.7717/peerj.17793/ref-58
  article-title: Revolutionising dental technologies: a qualitative study on dental technicians’ perceptions of artificial intelligence integration
  publication-title: BMC Oral Health
  doi: 10.1186/s12903-023-03389-x
– volume: 2014
  start-page: 783948
  issue: 1
  year: 2014
  ident: 10.7717/peerj.17793/ref-2
  article-title: Trends in computer-aided manufacturing in prosthodontics: a review of the available streams
  publication-title: International Journal of Dentistry
  doi: 10.1155/2014/783948
– volume: 8
  start-page: Ze25
  year: 2014
  ident: 10.7717/peerj.17793/ref-51
  article-title: The role of virtual articulator in prosthetic and restorative dentistry
  publication-title: Journal of Clinical and Diagnostic Research: JCDR
  doi: 10.7860/JCDR/2014/8929.4648
– volume: 119
  start-page: 104080
  issue: 4
  year: 2022b
  ident: 10.7717/peerj.17793/ref-92
  article-title: Cost-effectiveness of AI for caries detection: randomized trial
  publication-title: Journal of Dentistry
  doi: 10.1016/j.jdent.2022.104080
– volume: 12
  start-page: 837
  issue: 6
  year: 2022
  ident: 10.7717/peerj.17793/ref-37
  article-title: Influence of artificial aging on mechanical properties of six resin composite blocks for CAD/CAM application
  publication-title: Coatings
  doi: 10.3390/coatings12060837
– volume: 1259
  start-page: 012018
  issue: 1
  year: 2022
  ident: 10.7717/peerj.17793/ref-69
  article-title: CAD/CAM engineering and artificial intelligence in dentistry
  publication-title: IOP Conference Series: Materials Science and Engineering
  doi: 10.1088/1757-899X/1259/1/012018
– volume: 23
  start-page: 63
  year: 2023
  ident: 10.7717/peerj.17793/ref-24
  article-title: Application of machine learning in prediction of bone cement leakage during single-level thoracolumbar percutaneous vertebroplasty
  publication-title: BMC Surgery
  doi: 10.1186/s12893-023-01959-y
– volume: 35
  start-page: 105
  issue: 1
  year: 2023
  ident: 10.7717/peerj.17793/ref-52
  article-title: Using artificial intelligence to predict the final color of leucite-reinforced ceramic restorations
  publication-title: Journal of Esthetic and Restorative Dentistry
  doi: 10.1111/jerd.13007
– volume: 98
  start-page: 1294
  issue: 12
  year: 2019
  ident: 10.7717/peerj.17793/ref-14
  article-title: Evolution of aesthetic dentistry
  publication-title: Journal of Dental Research
  doi: 10.1177/0022034519875450
– volume: 12
  start-page: 1029
  issue: 5
  year: 2022
  ident: 10.7717/peerj.17793/ref-77
  article-title: Artificial intelligence in the diagnosis of oral diseases: applications and pitfalls
  publication-title: Diagnostics
  doi: 10.3390/diagnostics12051029
– volume: 97
  start-page: 1082
  issue: 10
  year: 2018
  ident: 10.7717/peerj.17793/ref-95
  article-title: CAD/CAM ceramic restorative materials for natural teeth
  publication-title: Journal of Dental Research
  doi: 10.1177/0022034518779759
– volume: 6
  start-page: eabg5575
  issue: 57
  year: 2021
  ident: 10.7717/peerj.17793/ref-28
  article-title: Soft robotic manipulator for intraoperative MRI-guided transoral laser microsurgery
  publication-title: Science Robotics
  doi: 10.1126/scirobotics.abg5575
– volume: 7
  start-page: 1
  year: 2018
  ident: 10.7717/peerj.17793/ref-1
  article-title: An overview of computer aided design/computer aided manufacturing (CAD/CAM) in restorative dentistry
  publication-title: Journal of Dental Materials and Techniques
  doi: 10.22038/jdmt.2017.26351.1213
– volume: 9
  start-page: 3
  issue: 3
  year: 2022
  ident: 10.7717/peerj.17793/ref-76
  article-title: Artificial intelligence in prosthodontics: a scoping review on current applications and future possibilities
  publication-title: International Journal of Advances in Medicine
  doi: 10.18203/2349-3933.ijam20220444
– volume: 200
  start-page: 012020
  year: 2017
  ident: 10.7717/peerj.17793/ref-96
  article-title: The application of CAD/CAM technology in dentistry
  publication-title: IOP Conference Series: Materials Science and Engineering
  doi: 10.1088/1757-899X/200/1/012020
– volume: 2022
  start-page: 1
  issue: 4
  year: 2022
  ident: 10.7717/peerj.17793/ref-3
  article-title: Deep learning application for effective classification of different types of psoriasis
  publication-title: Journal of Healthcare Engineering
  doi: 10.1155/2022/7541583
– volume: 10
  start-page: 2188
  issue: 11
  year: 2022
  ident: 10.7717/peerj.17793/ref-31
  article-title: Advancements in dentistry with artificial intelligence: current clinical applications and future perspectives
  publication-title: Healthcare
  doi: 10.3390/healthcare10112188
– volume: 14
  start-page: e30962
  year: 2022
  ident: 10.7717/peerj.17793/ref-94
  article-title: Extended arm of precision in prosthodontics: artificial intelligence
  publication-title: Cureus
  doi: 10.7759/cureus.30962
– volume: 17
  start-page: 460
  issue: 4
  year: 2004
  ident: 10.7717/peerj.17793/ref-46
  article-title: Design and fabrication of auricular prostheses by CAD/CAM system
  publication-title: The International Journal of Prosthodontics
– volume: 91
  start-page: 045002
  issue: 4
  year: 2019
  ident: 10.7717/peerj.17793/ref-17
  article-title: Machine learning and the physical sciences
  publication-title: Reviews of Modern Physics
  doi: 10.1103/RevModPhys.91.045002
– volume: 36
  start-page: 765
  issue: 6
  year: 2020
  ident: 10.7717/peerj.17793/ref-35
  article-title: Dentronics: towards robotics and artificial intelligence in dentistry
  publication-title: Dental Materials
  doi: 10.1016/j.dental.2020.03.021
– volume: 10
  start-page: 663
  issue: 6
  year: 2023
  ident: 10.7717/peerj.17793/ref-8
  article-title: Mechanical properties of three-dimensional printed provisional resin materials for crown and fixed dental prosthesis: a systematic review
  publication-title: Bioengineering
  doi: 10.3390/bioengineering10060663
– volume: 9
  start-page: 556
  issue: 2
  year: 2019
  ident: 10.7717/peerj.17793/ref-20
  article-title: Machine learning for composite materials
  publication-title: MRs Communications
  doi: 10.1557/mrc.2019.32
– volume: 20
  start-page: 80
  year: 2020
  ident: 10.7717/peerj.17793/ref-56
  article-title: Artificial intelligence in fixed implant prosthodontics: a retrospective study of 106 implant-supported monolithic zirconia crowns inserted in the posterior jaws of 90 patients
  publication-title: BMC Oral Health
  doi: 10.1186/s12903-020-1062-4
– volume: 35
  start-page: 735
  issue: 5
  year: 2023
  ident: 10.7717/peerj.17793/ref-86
  article-title: An overview of the digital occlusion technologies: intraoral scanners, jaw tracking systems, and computerized occlusal analysis devices
  publication-title: Journal of Esthetic and Restorative Dentistry
  doi: 10.1111/jerd.13044
– volume: 13
  start-page: 87
  year: 2023
  ident: 10.7717/peerj.17793/ref-29
  article-title: Computer-aided design and 3-dimensional artificial/convolutional neural network for digital partial dental crown synthesis and validation
  publication-title: Scientific Reports
  doi: 10.1038/s41598-023-28442-1
– volume: 14
  start-page: 166
  issue: 3
  year: 2022
  ident: 10.7717/peerj.17793/ref-88
  article-title: Artificial intelligence with the application in medicine and dentistry
  publication-title: Journal of Osseointegration
  doi: 10.23805/JO.2022.14.22
– volume: 22
  start-page: 530
  issue: 1
  year: 2008
  ident: 10.7717/peerj.17793/ref-104
  article-title: An overview of dental CAD/CAM systems
  publication-title: Biotechnology & Biotechnological Equipment
  doi: 10.1080/13102818.2008.10817506
– volume: 21
  start-page: 1445
  issue: 5
  year: 2017
  ident: 10.7717/peerj.17793/ref-40
  article-title: Accuracy of five intraoral scanners compared to indirect digitalization
  publication-title: Clinical Oral Investigations
  doi: 10.1007/s00784-016-1902-4
– volume: 43
  start-page: 3
  issue: 1
  year: 2000
  ident: 10.7717/peerj.17793/ref-11
  article-title: Artificial neural networks: fundamentals, computing, design, and application
  publication-title: Journal of Microbiological Methods
  doi: 10.1016/S0167-7012(00)00201-3
– volume: 10
  start-page: 1269
  year: 2022b
  ident: 10.7717/peerj.17793/ref-99
  article-title: Where is the artificial intelligence applied in dentistry? systematic review and literature analysis
  publication-title: Healthcare
  doi: 10.3390/healthcare10071269
– year: 1995
  ident: 10.7717/peerj.17793/ref-70
  article-title: Artificial Intelligence in CAD/CAM
– volume: 43
  start-page: 14
  issue: 5
  year: 2022
  ident: 10.7717/peerj.17793/ref-44
  article-title: Imagoworks launches AI-based web dental CAD 3Dme crown
  publication-title: Dentistry Today
– volume: 101
  start-page: 1350
  issue: 11
  year: 2022a
  ident: 10.7717/peerj.17793/ref-91
  article-title: Artificial intelligence for caries detection: value of data and information
  publication-title: Journal of Dental Research
  doi: 10.1177/00220345221113756
– volume: 468
  start-page: 492
  issue: 7
  year: 2022
  ident: 10.7717/peerj.17793/ref-48
  article-title: Machine learning based liver disease diagnosis: a systematic review
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2021.08.138
– volume: 4
  start-page: 158
  year: 2023b
  ident: 10.7717/peerj.17793/ref-26
  article-title: Artificial intelligence in dentistry—a review
  publication-title: Frontiers in Dental Medicine
  doi: 10.3389/fdmed.2023.1085251
– volume: 44
  start-page: 115
  issue: 1
  year: 2024
  ident: 10.7717/peerj.17793/ref-34
  article-title: A paradigm shift using scan bodies to record the position of a complete arch of implants in a digital workflow
  publication-title: International Journal of Periodontics & Restorative Dentistry
  doi: 10.11607/prd.6733
– volume: 13
  start-page: 935
  issue: 2
  year: 2023a
  ident: 10.7717/peerj.17793/ref-116
  article-title: Deep learning based dental implant failure prediction from periapical and panoramic films
  publication-title: Quantitative Imaging in Medicine and Surgery
  doi: 10.21037/qims-22-457
– volume: 122
  start-page: 104115
  year: 2022
  ident: 10.7717/peerj.17793/ref-66
  article-title: Deep learning for caries detection: a systematic review
  publication-title: Journal of Dentistry
  doi: 10.1016/j.jdent.2022.104115
– volume: 3
  start-page: 117
  issue: 4
  year: 2015
  ident: 10.7717/peerj.17793/ref-60
  article-title: Virtual articulators in prosthetic dentistry: a review
  publication-title: Journal of Advanced Medical and Dental Sciences Research
– volume: 141
  start-page: 104830
  year: 2024
  ident: 10.7717/peerj.17793/ref-21
  article-title: Tooth morphology, internal fit, occlusion and proximal contacts of dental crowns designed by deep learning-based dental software: a comparative study
  publication-title: Journal of Dentistry
  doi: 10.1016/j.jdent.2023.104830
– volume: 99
  start-page: 769
  issue: 7
  year: 2020
  ident: 10.7717/peerj.17793/ref-93
  article-title: Artificial intelligence in dentistry: chances and challenges
  publication-title: Journal of Dental Research
  doi: 10.1177/0022034520915714
– volume: 41
  start-page: 103217
  issue: 1
  year: 2023a
  ident: 10.7717/peerj.17793/ref-107
  article-title: Machine learning-based automatic identification and diagnosis of dental caries and calculus using hyperspectral fluorescence imaging
  publication-title: Photodiagnosis and Photodynamic Therapy
  doi: 10.1016/j.pdpdt.2022.103217
– volume: 118
  start-page: 103947
  issue: 6
  year: 2022
  ident: 10.7717/peerj.17793/ref-81
  article-title: Machine learning models for prognosis prediction in endodontic microsurgery
  publication-title: Journal of Dentistry
  doi: 10.1016/j.jdent.2022.103947
– volume: 27
  start-page: 4035
  issue: 13
  year: 2022a
  ident: 10.7717/peerj.17793/ref-98
  article-title: Human remains identification using micro-CT, chemometric and AI methods in forensic experimental reconstruction of dental patterns after concentrated sulphuric acid significant impact
  publication-title: Molecules
  doi: 10.3390/molecules27134035
– volume: 143
  start-page: 1
  issue: 8
  year: 2022
  ident: 10.7717/peerj.17793/ref-12
  article-title: Biomaterialomics: data science-driven pathways to develop fourth-generation biomaterials
  publication-title: Acta Biomaterialia
  doi: 10.1016/j.actbio.2022.02.027
– volume: 10
  start-page: 318
  issue: 3
  year: 2021
  ident: 10.7717/peerj.17793/ref-53
  article-title: A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
  publication-title: Electronics
  doi: 10.3390/electronics10030318
– volume: 2
  start-page: 33
  issue: 2
  year: 2016
  ident: 10.7717/peerj.17793/ref-45
  article-title: CAD-CAM the future of digital dentistry: a review
  publication-title: Annals of Prosthodontics & Restorative Dentistry
– volume: 372
  start-page: n71
  year: 2021
  ident: 10.7717/peerj.17793/ref-75
  article-title: The PRISMA, 2020 statement: an updated guideline for reporting systematic reviews
  publication-title: BMJ
  doi: 10.1136/bmj.n71
– volume: 12
  start-page: 1083
  issue: 5
  year: 2022b
  ident: 10.7717/peerj.17793/ref-50
  article-title: Application and performance of artificial intelligence technology in detection, diagnosis and prediction of dental caries (DC)-a systematic review
  publication-title: Diagnostics
  doi: 10.3390/diagnostics12051083
– volume: 77
  start-page: 29
  issue: 1
  year: 2022a
  ident: 10.7717/peerj.17793/ref-115
  article-title: Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: a mini-review, two showcases and beyond
  publication-title: Information Fusion
  doi: 10.1016/j.inffus.2021.07.016
– volume: 297
  start-page: 01074
  issue: 4
  year: 2021
  ident: 10.7717/peerj.17793/ref-9
  article-title: Artificial intelligence in dentistry: concepts, applications and research challenges
  publication-title: E3S Web of Conferences
  doi: 10.1051/e3sconf/202129701074
– volume: 2022
  start-page: 5032435
  issue: 2
  year: 2022
  ident: 10.7717/peerj.17793/ref-97
  article-title: Uses of different machine learning algorithms for diagnosis of dental caries
  publication-title: Journal of Healthcare Engineering
  doi: 10.1155/2022/5032435
– volume: 24
  start-page: 38
  year: 2024
  ident: 10.7717/peerj.17793/ref-41
  article-title: Flexural strength, flexural modulus and microhardness of milled vs. fused deposition modeling printed Zirconia; effect of conventional vs. speed sintering
  publication-title: BMC Oral Health
  doi: 10.1186/s12903-023-03829-8
– volume: 60
  start-page: 72
  issue: 2
  year: 2016
  ident: 10.7717/peerj.17793/ref-5
  article-title: Advancements in CAD/CAM technology: options for practical implementation
  publication-title: Journal of Prosthodontic Research
  doi: 10.1016/j.jpor.2016.01.003
– volume: 26
  start-page: 151
  issue: 1
  year: 2021
  ident: 10.7717/peerj.17793/ref-100
  article-title: DCPR-GAN: dental crown prosthesis restoration using two-stage generative adversarial networks
  publication-title: IEEE Journal of Biomedical and Health Informatics
  doi: 10.1109/JBHI.2021.3119394
– volume: 9
  start-page: 118
  issue: 2
  year: 2021
  ident: 10.7717/peerj.17793/ref-4
  article-title: The modern and digital transformation of oral health care: a mini review
  publication-title: Healthcare
  doi: 10.3390/healthcare9020118
– volume: 12
  start-page: 237
  issue: 2
  year: 2022
  ident: 10.7717/peerj.17793/ref-118
  article-title: Applications of explainable artificial intelligence in diagnosis and surgery
  publication-title: Diagnostics
  doi: 10.3390/diagnostics12020237
– volume: 15
  start-page: e0227050
  issue: 1
  year: 2020
  ident: 10.7717/peerj.17793/ref-105
  article-title: Comparison and evaluation of the morphology of crowns generated by biogeneric design technique with CEREC chairside system
  publication-title: PLOS ONE
  doi: 10.1371/journal.pone.0227050
SSID ssj0000826083
Score 2.39852
SecondaryResourceType review_article
Snippet Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients....
SourceID doaj
pubmedcentral
proquest
gale
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage e17793
SubjectTerms Artificial Intelligence
Biotechnology
CAD-CAM systems
CAD-CAM systems industry
CAD/CAM
Computer programs
Computer-Aided Design
Data Mining and Machine Learning
Data Science
Dental Materials
Dental Prosthesis Design - methods
Dental Restoration, Permanent - methods
Dentistry
Digital dentistry
Economic development
Geospatial data
Human-Computer Interaction
Humans
International economic relations
Machine learning
Real estate development
Restorative dentistry
Virtual reality
Title Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review
URI https://www.ncbi.nlm.nih.gov/pubmed/39040936
https://www.proquest.com/docview/3083681253
https://pubmed.ncbi.nlm.nih.gov/PMC11262301
https://doaj.org/article/032feb300bb3475eb1fcc0b4693fe657
Volume 12
WOSCitedRecordID wos001273867500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2167-8359
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000826083
  issn: 2167-8359
  databaseCode: DOA
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2167-8359
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000826083
  issn: 2167-8359
  databaseCode: M~E
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: Biological Science Database
  customDbUrl:
  eissn: 2167-8359
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000826083
  issn: 2167-8359
  databaseCode: M7P
  dateStart: 20130212
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/biologicalscijournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 2167-8359
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000826083
  issn: 2167-8359
  databaseCode: BENPR
  dateStart: 20130212
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Publicly Available Content Database
  customDbUrl:
  eissn: 2167-8359
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000826083
  issn: 2167-8359
  databaseCode: PIMPY
  dateStart: 20130212
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Science Database
  customDbUrl:
  eissn: 2167-8359
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000826083
  issn: 2167-8359
  databaseCode: M2P
  dateStart: 20130212
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/sciencejournals
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3di9QwEA96J-KL-G31XCMcCELZtGmbxLe94w4FdymHwvpU8lVuQXrL7t49-OZ_7kzSW1oUfPElD5thaWYmmd-0md8QciyUdKpyZaqksmmR-yKVnpvUMQ3pRMmZbwOJ6xexWMjlUtWDVl94JyzSA0fFTRnPW0j4GDOGF6KEo6W1lhnI6njrqzLUkQPqGSRT4QwG1AzgIhbkCUhZpmvvN3h9Ryg-CkGBqf_P83gQkMaXJQfR5_wRedjDRjqLj_uY3PHdE3J_3n8Yf0p-Xfib3olWPyEaUdDw9HQ2TzFKOboJ_WMCxzd1oQCSrmOFgN9S3TkKuDW6IsUXsxTVEqkl6GrA2fmRagr5MzbioJ3e9H8Yq1-ekW_nZ19PP6V9d4XUlkW1S10mLHfWaVXYrAUY5AQXMtOFEtYbZn1uKufyzLe2klpV2jjltTSYMZZFa_hzctBddf4lobrNmWYwC9IAEJhRzLuWGVFWAE9MkZAPtwpvbE89jh0wfjSQgqB1mmCdJlgnIcd74XVk3Pi72Alabi-CNNnhB3Cepnee5l_Ok5C3aPcm1pzuN3szkxmHQF3xPCHvgwRud3hkq_uqBVg4EmeNJI9GkrBN7Wj63a1vNTiFd9s6f3W9bTgShAPOKmFNL6Kv7VfFFRyyilcJkSMvHC17PNOtLgNLONaGQX6ZvfofinpNHuSA5vCldqaOyMFuc-3fkHv2ZrfabibkrljKCTk8OVvUF5OwE2Gc5zWOAsbD-vO8_v4bn0I-6w
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Revolutionizing+CAD%2FCAM-based+restorative+dental+processes+and+materials+with+artificial+intelligence%3A+a+concise+narrative+review&rft.jtitle=PeerJ+%28San+Francisco%2C+CA%29&rft.au=Yeslam%2C+Hanin+E&rft.au=Freifrau+von+Maltzahn%2C+Nadine&rft.au=Nassar%2C+Hani+M&rft.date=2024-07-19&rft.issn=2167-8359&rft.eissn=2167-8359&rft.volume=12&rft.spage=e17793&rft_id=info:doi/10.7717%2Fpeerj.17793&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2167-8359&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2167-8359&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2167-8359&client=summon