Artificial intelligence in colonoscopy ‐ Now on the market. What's next?
Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In the field of colonoscopy, major endoscopy manufacturers have already launched their own AI products on the market with regulatory approval in Europe and Asia. This commercialization is strongly suppor...
Uloženo v:
| Vydáno v: | Journal of gastroenterology and hepatology Ročník 36; číslo 1; s. 7 - 11 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Australia
Wiley Subscription Services, Inc
01.01.2021
|
| Témata: | |
| ISSN: | 0815-9319, 1440-1746, 1440-1746 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In the field of colonoscopy, major endoscopy manufacturers have already launched their own AI products on the market with regulatory approval in Europe and Asia. This commercialization is strongly supported by positive evidence that has been recently established through rigorously designed prospective trials and randomized controlled trials. According to some of the trials, AI tools possibly increase the adenoma detection rate by roughly 50% and contribute to a 7–20% reduction of colonoscopy‐related costs. Given that reliable evidence is emerging, together with active commercialization, this seems to be a good time for us to review and discuss the current status of AI in colonoscopy from a clinical perspective. In this review, we introduce the advantages and possible drawbacks of AI tools and explore their future potential including the possibility of obtaining reimbursement. |
|---|---|
| AbstractList | Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In the field of colonoscopy, major endoscopy manufacturers have already launched their own AI products on the market with regulatory approval in Europe and Asia. This commercialization is strongly supported by positive evidence that has been recently established through rigorously designed prospective trials and randomized controlled trials. According to some of the trials, AI tools possibly increase the adenoma detection rate by roughly 50% and contribute to a 7–20% reduction of colonoscopy‐related costs. Given that reliable evidence is emerging, together with active commercialization, this seems to be a good time for us to review and discuss the current status of AI in colonoscopy from a clinical perspective. In this review, we introduce the advantages and possible drawbacks of AI tools and explore their future potential including the possibility of obtaining reimbursement. Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In the field of colonoscopy, major endoscopy manufacturers have already launched their own AI products on the market with regulatory approval in Europe and Asia. This commercialization is strongly supported by positive evidence that has been recently established through rigorously designed prospective trials and randomized controlled trials. According to some of the trials, AI tools possibly increase the adenoma detection rate by roughly 50% and contribute to a 7-20% reduction of colonoscopy-related costs. Given that reliable evidence is emerging, together with active commercialization, this seems to be a good time for us to review and discuss the current status of AI in colonoscopy from a clinical perspective. In this review, we introduce the advantages and possible drawbacks of AI tools and explore their future potential including the possibility of obtaining reimbursement.Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In the field of colonoscopy, major endoscopy manufacturers have already launched their own AI products on the market with regulatory approval in Europe and Asia. This commercialization is strongly supported by positive evidence that has been recently established through rigorously designed prospective trials and randomized controlled trials. According to some of the trials, AI tools possibly increase the adenoma detection rate by roughly 50% and contribute to a 7-20% reduction of colonoscopy-related costs. Given that reliable evidence is emerging, together with active commercialization, this seems to be a good time for us to review and discuss the current status of AI in colonoscopy from a clinical perspective. In this review, we introduce the advantages and possible drawbacks of AI tools and explore their future potential including the possibility of obtaining reimbursement. |
| Author | Kudo, Shin‐ei Bretthauer, Michael Neumann, Helmut Misawa, Masashi Mori, Yuichi |
| Author_xml | – sequence: 1 givenname: Yuichi orcidid: 0000-0003-2262-0334 surname: Mori fullname: Mori, Yuichi email: yuichi.mori@medisin.uio.no, ibusiginjp@gmail.com organization: Showa University Northern Yokohama Hospital – sequence: 2 givenname: Helmut surname: Neumann fullname: Neumann, Helmut organization: University Medical Center Mainz – sequence: 3 givenname: Masashi surname: Misawa fullname: Misawa, Masashi organization: Showa University Northern Yokohama Hospital – sequence: 4 givenname: Shin‐ei orcidid: 0000-0002-4268-1217 surname: Kudo fullname: Kudo, Shin‐ei organization: Showa University Northern Yokohama Hospital – sequence: 5 givenname: Michael surname: Bretthauer fullname: Bretthauer, Michael organization: Oslo University Hospital |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33179322$$D View this record in MEDLINE/PubMed |
| BookMark | eNp90UFPwyAUB3BiNDqnB7-AIfGgHjqhLaWczGJ00xi9aDw2jL46Zgez0Mzd_Ah-Rj-J6NTDEuVCSH7v8eC_jdaNNYDQHiU9GtbJ5HHcoyxJxBrq0DQlEeVpto46JKcsEgkVW2jbuQkhJCWcbaKtJKFcJHHcQVf9xutKKy1rrI2HutaPYBSEA1a2tsY6ZWcL_P76hm_sHFuD_RjwVDZP4Hv4YSz9ocMGXvzpDtqoZO1g93vvovuL87uzYXR9O7g8619HKqVCRIKXOav4SGVxVfIUuMokzQWwkcgFB5IRwnJFoZKM0ixmVJFSyUwBi5koqUq66GjZd9bY5xacL6baqTC5NGBbV8RpaJGnecIDPVihE9s2JkwXFOeCkHBDUPvfqh1NoSxmjQ7vWxQ_vxTA8RKoxjrXQPVLKCk-EyhCAsVXAsGerFilvfTaGt9IXf9XMdc1LP5uXVwNhsuKD_7xlUQ |
| CitedBy_id | crossref_primary_10_3390_diagnostics13061102 crossref_primary_10_1016_j_gie_2025_03_001 crossref_primary_10_1016_j_gie_2022_09_029 crossref_primary_10_1111_den_14187 crossref_primary_10_1111_jgh_16182 crossref_primary_10_3892_or_2023_8636 crossref_primary_10_1080_14737140_2023_2215436 crossref_primary_10_1016_S2468_1253_22_00232_1 crossref_primary_10_3390_diagnostics14232762 crossref_primary_10_3748_wjg_v27_i16_1664 crossref_primary_10_3748_wjg_v27_i47_8103 crossref_primary_10_2196_50525 crossref_primary_10_1186_s12967_025_06488_1 crossref_primary_10_1016_S2468_1253_21_00254_5 crossref_primary_10_1016_j_medj_2025_100668 crossref_primary_10_1002_ueg2_12076 crossref_primary_10_1055_a_1701_6201 crossref_primary_10_1080_00365521_2022_2070436 crossref_primary_10_3389_frobt_2024_1453194 crossref_primary_10_1038_s41598_024_68866_x crossref_primary_10_1007_s12553_025_00997_1 crossref_primary_10_1038_s41575_022_00701_y crossref_primary_10_1111_den_14531 crossref_primary_10_1111_den_14279 crossref_primary_10_3748_wjg_v27_i32_5351 crossref_primary_10_1186_s12909_022_03852_3 crossref_primary_10_3748_wjg_v28_i24_2778 crossref_primary_10_3390_diagnostics12040927 crossref_primary_10_3390_diagnostics12092222 crossref_primary_10_1097_JS9_0000000000000285 crossref_primary_10_1089_omi_2021_0037 crossref_primary_10_1111_cas_16395 crossref_primary_10_1007_s00464_023_10412_3 crossref_primary_10_1111_jgh_15521 crossref_primary_10_1007_s40620_022_01529_0 crossref_primary_10_1016_j_gie_2021_01_012 crossref_primary_10_1038_s41575_024_00919_y crossref_primary_10_4251_wjgo_v16_i4_1119 crossref_primary_10_1016_j_dld_2024_01_203 crossref_primary_10_1155_2021_7714351 crossref_primary_10_1111_jgh_15684 crossref_primary_10_1111_jgh_15344 |
| Cites_doi | 10.1016/S2468-1253(19)30413-3 10.1055/a-1031-7657 10.1016/j.gie.2018.09.024 10.1038/s41591-020-1042-x 10.1136/gutjnl-2015-310584 10.1136/gutjnl-2018-317500 10.1056/NEJMoa1309086 10.1016/j.gie.2020.07.060 10.1056/NEJMoa1100370 10.1016/j.cgh.2010.05.018 10.1016/j.gie.2011.01.023 10.1053/j.gastro.2020.04.062 10.1016/j.gie.2019.03.019 10.1111/den.13340 10.7326/M18-0249 10.1016/j.gie.2019.08.026 10.1038/s41591-020-1034-x 10.1016/j.gie.2020.03.3759 10.1016/j.cgh.2019.09.009 |
| ContentType | Journal Article |
| Copyright | 2020 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd 2020 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd. 2021 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd |
| Copyright_xml | – notice: 2020 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd – notice: 2020 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd. – notice: 2021 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd |
| DBID | AAYXX CITATION NPM 7T5 7U9 H94 K9. 7X8 |
| DOI | 10.1111/jgh.15339 |
| DatabaseName | CrossRef PubMed Immunology Abstracts Virology and AIDS Abstracts AIDS and Cancer Research Abstracts ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic |
| DatabaseTitle | CrossRef PubMed AIDS and Cancer Research Abstracts ProQuest Health & Medical Complete (Alumni) Immunology Abstracts Virology and AIDS Abstracts MEDLINE - Academic |
| DatabaseTitleList | AIDS and Cancer Research Abstracts MEDLINE - Academic CrossRef PubMed |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1440-1746 |
| EndPage | 11 |
| ExternalDocumentID | 33179322 10_1111_jgh_15339 JGH15339 |
| Genre | article Journal Article |
| GroupedDBID | --- .3N .GA .Y3 05W 0R~ 10A 1OB 1OC 29K 31~ 33P 36B 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52R 52S 52T 52U 52V 52W 52X 53G 5GY 5HH 5LA 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A01 A03 AAESR AAEVG AAHHS AAHQN AAIPD AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABEML ABJNI ABPVW ABQWH ABXGK ACAHQ ACBWZ ACCFJ ACCZN ACGFS ACGOF ACMXC ACPOU ACPRK ACRPL ACSCC ACXBN ACXQS ACYXJ ADBBV ADBTR ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN AEEZP AEGXH AEIGN AEIMD AENEX AEQDE AEUQT AEUYR AFBPY AFEBI AFFPM AFGKR AFPWT AFWVQ AFZJQ AHBTC AHEFC AIACR AITYG AIURR AIWBW AJBDE ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ASPBG ATUGU AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMXJE BROTX BRXPI BY8 C45 CAG COF CS3 D-6 D-7 D-E D-F D-I DCZOG DPXWK DR2 DRFUL DRMAN DRSTM DTERQ DU5 EBS EJD EMOBN ESX EX3 F00 F01 F04 F5P FEDTE FUBAC FZ0 G-S G.N GODZA H.X HF~ HGLYW HVGLF HZI HZ~ IHE IX1 J0M K48 KBYEO KMS LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRMAN MRSTM MSFUL MSMAN MSSTM MXFUL MXMAN MXSTM N04 N05 N9A NF~ O66 O9- OIG OVD P2P P2W P2X P2Z P4B P4D PALCI Q.N Q11 QB0 R.K RIWAO RJQFR ROL RX1 SAMSI SUPJJ TEORI UB1 W8V W99 WBKPD WH7 WHWMO WIH WIJ WIK WOHZO WOQ WOW WQJ WRC WUP WVDHM WXI WXSBR XG1 YFH ZZTAW ~IA ~WT AAMMB AAYXX AEFGJ AEYWJ AGHNM AGQPQ AGXDD AGYGG AIDQK AIDYY AIQQE CITATION O8X NPM 7T5 7U9 H94 K9. 7X8 |
| ID | FETCH-LOGICAL-c4199-97d85f7bc62fd74e7c6a189e5b9897e060058c1efa5116251c0dca6ce5259d1c3 |
| IEDL.DBID | DRFUL |
| ISICitedReferencesCount | 52 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000607688400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0815-9319 1440-1746 |
| IngestDate | Sun Nov 09 09:27:17 EST 2025 Sat Nov 29 14:23:30 EST 2025 Wed Feb 19 02:29:43 EST 2025 Sat Nov 29 03:02:02 EST 2025 Tue Nov 18 20:53:40 EST 2025 Wed Jan 22 16:30:22 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Colorectal polyps Computer-aided diagnosis Colorectal cancer |
| Language | English |
| License | 2020 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c4199-97d85f7bc62fd74e7c6a189e5b9897e060058c1efa5116251c0dca6ce5259d1c3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0003-2262-0334 0000-0002-4268-1217 |
| PMID | 33179322 |
| PQID | 2477900162 |
| PQPubID | 2045136 |
| PageCount | 5 |
| ParticipantIDs | proquest_miscellaneous_2460084837 proquest_journals_2477900162 pubmed_primary_33179322 crossref_primary_10_1111_jgh_15339 crossref_citationtrail_10_1111_jgh_15339 wiley_primary_10_1111_jgh_15339_JGH15339 |
| PublicationCentury | 2000 |
| PublicationDate | January 2021 2021-01-00 2021-Jan 20210101 |
| PublicationDateYYYYMMDD | 2021-01-01 |
| PublicationDate_xml | – month: 01 year: 2021 text: January 2021 |
| PublicationDecade | 2020 |
| PublicationPlace | Australia |
| PublicationPlace_xml | – name: Australia – name: Richmond |
| PublicationTitle | Journal of gastroenterology and hepatology |
| PublicationTitleAlternate | J Gastroenterol Hepatol |
| PublicationYear | 2021 |
| Publisher | Wiley Subscription Services, Inc |
| Publisher_xml | – name: Wiley Subscription Services, Inc |
| References | 2019; 90 2020; 5 2019; 51 2012; 366 2019; 31 2020 2017; 66 2019; 68 2019; 89 2011; 73 2020; 91 2018; 169 2019 2020; 26 2014; 370 2010; 8 2020; 18 e_1_2_7_6_1 e_1_2_7_5_1 e_1_2_7_4_1 Horiuchi H (e_1_2_7_22_1) 2019 e_1_2_7_3_1 e_1_2_7_9_1 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_17_1 e_1_2_7_2_1 Wadhwa V (e_1_2_7_10_1) 2020 e_1_2_7_15_1 e_1_2_7_14_1 e_1_2_7_13_1 e_1_2_7_11_1 e_1_2_7_26_1 e_1_2_7_28_1 e_1_2_7_29_1 Hassan C (e_1_2_7_27_1) 2019 Barua I (e_1_2_7_8_1) 2020 Hassan C (e_1_2_7_18_1) 2020 e_1_2_7_25_1 e_1_2_7_24_1 e_1_2_7_23_1 Wang P (e_1_2_7_12_1) 2020 e_1_2_7_21_1 e_1_2_7_20_1 Liu W (e_1_2_7_16_1) 2020 |
| References_xml | – year: 2020 article-title: Performance of artificial intelligence for colonoscopy regarding adenoma and polyp detection: a meta‐analysis publication-title: Gastrointest. Endosc. – volume: 18 start-page: 1874 year: 2020 end-page: 1881 article-title: Artificial intelligence‐assisted system improves endoscopic identification of colorectal neoplasms publication-title: Clin. Gastroenterol. Hepatol. – volume: 91 start-page: 415 year: 2020 end-page: 424 article-title: Impact of a real‐time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos) publication-title: Gastrointest Endosc. – year: 2020 article-title: Effect of a deep‐learning computer‐aided detection system on adenoma detection during colonoscopy (CADe‐DB trial): a double‐blind randomised study publication-title: Lancet Gastroenterol. Hepatol. – volume: 370 start-page: 1298 year: 2014 end-page: 1306 article-title: Adenoma detection rate and risk of colorectal cancer and death publication-title: N. Engl. J. Med. – year: 2020 article-title: Physician sentiment toward artificial intelligence (AI) in colonoscopic practice: a survey of US gastroenterologists publication-title: Endosc. Int. Open. – volume: 51 start-page: 1155 year: 2019 end-page: 1179 article-title: Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline—update 2019 publication-title: Endoscopy – year: 2020 article-title: Development of a computer‐aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video) publication-title: Gastrointest Endosc. – start-page: 1 year: 2019 end-page: 6 article-title: Real‐time computer‐aided diagnosis of diminutive rectosigmoid polyps using an auto‐fluorescence imaging system and novel color intensity analysis software publication-title: Scand. J. Gastroenterol. – volume: 31 start-page: 363 year: 2019 end-page: 371 article-title: Artificial intelligence and colonoscopy: current status and future perspectives publication-title: Dig. Endosc. – year: 2020 article-title: Artificial intelligence for polyp detection during colonoscopy: a systematic review and meta‐analysis publication-title: Endoscopy – volume: 90 start-page: 55 year: 2019 end-page: 63 article-title: Quality assurance of computer‐aided detection and diagnosis in colonoscopy publication-title: Gastrointest. Endosc. – volume: 5 start-page: 352 year: 2020 end-page: 361 article-title: Detection of colorectal adenomas with a real‐time computer‐aided system (ENDOANGEL): a randomised controlled study publication-title: Lancet Gastroenterol. Hepatol. – volume: 26 start-page: 1318 year: 2020 end-page: 1320 article-title: Welcoming new guidelines for AI clinical research publication-title: Nat. Med. – year: 2019 article-title: New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection publication-title: Gut – year: 2020 article-title: Cost savings in colonoscopy with artificial intelligence‐aided polyp diagnosis: an add‐on analysis of a clinical trial (with video) publication-title: Gastrointest Endosc. – volume: 66 start-page: 887 year: 2017 end-page: 895 article-title: Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study publication-title: Gut – volume: 26 start-page: 1364 year: 2020 end-page: 1374 article-title: Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT‐AI extension publication-title: Nat. Med. – volume: 366 start-page: 687 year: 2012 end-page: 696 article-title: Colonoscopic polypectomy and long‐term prevention of colorectal‐cancer deaths publication-title: N. Engl. J. Med. – year: 2020 article-title: Study on detection rate of polyps and adenomas in artificial‐intelligence‐aided colonoscopy publication-title: Saudi J. Gastroenterol. Official J. Saudi Gastroenterol. Association – volume: 169 start-page: 357 year: 2018 end-page: 366 article-title: Real‐time use of artificial intelligence in identification of diminutive polyps during colonoscopy: a prospective study publication-title: Ann. Intern. Med. – volume: 8 start-page: 865 year: 2010 end-page: 869 article-title: A resect and discard strategy would improve cost‐effectiveness of colorectal cancer screening publication-title: Clin. Gastroenterol. Hepatol. – volume: 89 start-page: 408 year: 2019 end-page: 415 article-title: Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video) publication-title: Gastrointest. Endosc. – volume: 68 start-page: 1813 year: 2019 end-page: 1819 article-title: Real‐time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study publication-title: Gut – year: 2020 article-title: Efficacy of real‐time computer‐aided detection of colorectal neoplasia in a randomized trial publication-title: Gastroenterology – volume: 73 start-page: 419 year: 2011 end-page: 422 article-title: The American Society for Gastrointestinal Endoscopy PIVI (Preservation and Incorporation of Valuable Endoscopic Innovations) on real‐time endoscopic assessment of the histology of diminutive colorectal polyps publication-title: Gastrointest. Endosc. – ident: e_1_2_7_15_1 doi: 10.1016/S2468-1253(19)30413-3 – ident: e_1_2_7_19_1 doi: 10.1055/a-1031-7657 – ident: e_1_2_7_28_1 doi: 10.1016/j.gie.2018.09.024 – ident: e_1_2_7_17_1 doi: 10.1038/s41591-020-1042-x – ident: e_1_2_7_25_1 – ident: e_1_2_7_6_1 doi: 10.1136/gutjnl-2015-310584 – year: 2019 ident: e_1_2_7_27_1 article-title: New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection publication-title: Gut – ident: e_1_2_7_13_1 doi: 10.1136/gutjnl-2018-317500 – ident: e_1_2_7_3_1 doi: 10.1056/NEJMoa1309086 – ident: e_1_2_7_23_1 doi: 10.1016/j.gie.2020.07.060 – ident: e_1_2_7_2_1 doi: 10.1056/NEJMoa1100370 – ident: e_1_2_7_4_1 doi: 10.1016/j.cgh.2010.05.018 – ident: e_1_2_7_5_1 doi: 10.1016/j.gie.2011.01.023 – ident: e_1_2_7_11_1 doi: 10.1053/j.gastro.2020.04.062 – ident: e_1_2_7_7_1 doi: 10.1016/j.gie.2019.03.019 – year: 2020 ident: e_1_2_7_18_1 article-title: Performance of artificial intelligence for colonoscopy regarding adenoma and polyp detection: a meta‐analysis publication-title: Gastrointest. Endosc. – year: 2020 ident: e_1_2_7_16_1 article-title: Study on detection rate of polyps and adenomas in artificial‐intelligence‐aided colonoscopy publication-title: Saudi J. Gastroenterol. Official J. Saudi Gastroenterol. Association – ident: e_1_2_7_24_1 – ident: e_1_2_7_9_1 doi: 10.1111/den.13340 – ident: e_1_2_7_21_1 doi: 10.7326/M18-0249 – ident: e_1_2_7_14_1 doi: 10.1016/j.gie.2019.08.026 – ident: e_1_2_7_20_1 doi: 10.1038/s41591-020-1034-x – year: 2020 ident: e_1_2_7_8_1 article-title: Artificial intelligence for polyp detection during colonoscopy: a systematic review and meta‐analysis publication-title: Endoscopy – year: 2020 ident: e_1_2_7_10_1 article-title: Physician sentiment toward artificial intelligence (AI) in colonoscopic practice: a survey of US gastroenterologists publication-title: Endosc. Int. Open. – start-page: 1 year: 2019 ident: e_1_2_7_22_1 article-title: Real‐time computer‐aided diagnosis of diminutive rectosigmoid polyps using an auto‐fluorescence imaging system and novel color intensity analysis software publication-title: Scand. J. Gastroenterol. – year: 2020 ident: e_1_2_7_12_1 article-title: Effect of a deep‐learning computer‐aided detection system on adenoma detection during colonoscopy (CADe‐DB trial): a double‐blind randomised study publication-title: Lancet Gastroenterol. Hepatol. – ident: e_1_2_7_26_1 doi: 10.1016/j.gie.2020.03.3759 – ident: e_1_2_7_29_1 doi: 10.1016/j.cgh.2019.09.009 |
| SSID | ssj0004075 |
| Score | 2.5196111 |
| Snippet | Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In the field of colonoscopy, major endoscopy manufacturers... |
| SourceID | proquest pubmed crossref wiley |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 7 |
| SubjectTerms | Adenoma Artificial intelligence Clinical trials Colon Colonoscopy Colorectal cancer Colorectal polyps Computer‐aided diagnosis Endoscopy Regulatory approval |
| Title | Artificial intelligence in colonoscopy ‐ Now on the market. What's next? |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fjgh.15339 https://www.ncbi.nlm.nih.gov/pubmed/33179322 https://www.proquest.com/docview/2477900162 https://www.proquest.com/docview/2460084837 |
| Volume | 36 |
| WOSCitedRecordID | wos000607688400002&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: PRVWIB databaseName: Wiley Online Library - Journals customDbUrl: eissn: 1440-1746 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004075 issn: 0815-9319 databaseCode: DRFUL dateStart: 19970101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bS8MwFD64TcQX75d5GVEE99KxXpPgg4g6ZegQcbC30qbpFLSVbSq--RP8jf4Sc9KuKioIvrX0hJTkXL5czncAdlwRSGlLz-DNmBvK4TEjdELPCFlk0hgJWpjQxSZop8N6PX4xAXvjXJiMH6LYcEPL0P4aDTwIh5-NvH_dQLDCS1CxlN46ZagcXba6Zx9pkRnPrgp6rsGVquXEQvoiz7jx13D0DWN-haw65rRm__W3czCTQ01ykOnGPEzIZAGmzvPD9EVo45eMQILcfGLmVC8EuayTFFNWnsnbyyvppE8kTYhCi-RO50k3CJJ-7w5Jorz7_hJ0W8dXh6dGXlrBEI6JnJw0Ym5MQ-FZcUQdSYUXmIxLN-SMU9n0sNygMGUcKECmlkimaEYi8IR01XIpMoW9DOUkTeQqkFBIZjOLB0oG2QQDEVtIa69CY5OH1KtCfTzCvsh5x7H8xa1frD_6174emypsF6L3GdnGT0Ib42nyc3sb-paDvIkKvlpV2Co-K0vB448gkekDyni6eoBNq7CSTW_Ri22jo7JU67qexd-799snp_ph7e-i6zBt4VUYvXOzAeXR4EFuwqR4HN0MBzUo0R6r5cr7DvkD7sI |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bS8MwFD7oJuqL98t0ahTBvXSs1yQgiKhz6hwiCnsrbZqqoK04L_jmT_A3-kvMSbuqqCD41tITUpJz-XI53wFYd0UgpS09gzdibiiHx4zQCT0jZJFJYyRoYUIXm6CdDut2-ckAbPZzYTJ-iGLDDS1D-2s0cNyQ_mzlF5d1RCt8EMqOUiO3BOXd0-Z5-yMvMiPaVVHPNbjStZxZSN_k6Tf-Go--gcyvmFUHneb4_353AsZysEm2M-2YhAGZTMHwcX6cPg2H-CWjkCBXn7g51QtBNuskxaSVZ_L28ko66RNJE6LwIrnRmdJ1grTfGz2SKP--NQPnzb2znZaRF1cwhGMiKyeNmBvTUHhWHFFHUuEFJuPSDTnjVDY8LDgoTBkHCpKpRZIpGpEIPCFdtWCKTGHPQilJEzkPJBSS2czigZJBPsFAxBYS26vg2OAh9SpQ6w-xL3LmcSyAce0XK5CLS1-PTQXWCtHbjG7jJ6Fqf5783OJ6vuUgc6ICsFYFVovPylbwACRIZPqAMp6uH2DTCsxl81v0YtvoqizVuqan8ffu_cP9ln5Y-LvoCoy0zo7bfvugc7QIoxZejNH7OFUo3d89yCUYEo_3V7275VyH3wGsBvHK |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1ZS8QwEB68EF-8j_WMIuhLl-2VAwQRdV1XXURc8K20aaqCtuJ64Js_wd_oLzGTdquLCoJvDZmQkmRmvhzzDcC6L0OlXEUtUUuEpQ0etyIvolbEY5slSNDCpUk2wVotfnEhTvtgqxsLk_NDlAduqBnGXqOCq7s4-arll1dVRCuiHwY9X1CtloN7Z_X28WdcZE60q72ebwm91gpmIfOSp9u41x99A5m9mNU4nfrY_353HEYLsEl28tUxAX0qnYThk-I6fQqaWJNTSJDrL9ycukCQzTrNMGjlhby_vpFW9kyylGi8SG5NpHSVIO33Roek2r5vT0O7vn--27CK5AqW9Gxk5WQx9xMWSeokMfMUkzS0uVB-JLhgqkYx4aC0VRJqSKY3SbasxTKkUvl6wxTb0p2BgTRL1RyQSCruckeEWgb5BEOZOEhsr51jTUSMVmCzO8SBLJjHMQHGTVDuQC6vAjM2FVgrRe9yuo2fhBa78xQUGtcJHA-ZEzWAdSqwWlZrXcELkDBV2SPKUJM_wGUVmM3nt-zFddFUObr1ppnG37sPmgcN8zH_d9EVGD7dqwfHh62jBRhx8F2MOcZZhIGH-0e1BEPy6eG6c79cLOEPS1DxRQ |
| 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=Artificial+intelligence+in+colonoscopy+-+Now+on+the+market.+What%27s+next%3F&rft.jtitle=Journal+of+gastroenterology+and+hepatology&rft.au=Mori%2C+Yuichi&rft.au=Neumann%2C+Helmut&rft.au=Misawa%2C+Masashi&rft.au=Kudo%2C+Shin-Ei&rft.date=2021-01-01&rft.issn=1440-1746&rft.eissn=1440-1746&rft.volume=36&rft.issue=1&rft.spage=7&rft_id=info:doi/10.1111%2Fjgh.15339&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0815-9319&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0815-9319&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0815-9319&client=summon |