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...
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| Vydáno v: | PeerJ (San Francisco, CA) Ročník 12; s. e17793 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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PeerJ. Ltd
19.07.2024
PeerJ Inc |
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| ISSN: | 2167-8359, 2167-8359 |
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| 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. |
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| 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 |
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| 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 |
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| Keywords | Dental materials Neural networks CAD/CAM Machine learning Virtual reality Digital dentistry Restorative dentistry Artificial intelligence |
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| 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 |
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| Title | Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review |
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