{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T15:19:29Z","timestamp":1783696769369,"version":"3.55.0"},"reference-count":77,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:00:00Z","timestamp":1783468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Med."],"abstract":"<jats:p>Colorectal cancer (CRC) is a globally prevalent malignant tumor, and colonoscopy serves as the gold standard for its early screening and diagnosis. However, traditional colonoscopy highly depends on the experience of endoscopists, which is associated with limitations such as a relatively high miss rate and inadequate inspection quality control. This narrative review summarizes the application progress, clinical value, and existing challenges of artificial intelligence (AI) in colonoscopy. Currently, AI has formed three mature application directions, namely computer-aided detection, diagnosis, and quality control training, which extensively cover key links of colonoscopy, including bowel preparation assessment, cecal landmark identification, withdrawal quality monitoring, auxiliary lesion detection, and polyp character evaluation. Preliminary evidence suggests that AI can promote the standardization of colonoscopy procedures and the refinement of quality control indicators, potentially bridge the diagnostic gap between endoscopists with different levels of experience, and reduce the misdiagnosis of minor lesions. However, current studies predominantly report positive effects, and there is a lack of long-term outcome data, standardized methodology, and discussion of human-AI interaction dynamics. In conclusion, AI is expected to become an important auxiliary tool for the early screening and diagnosis of CRC, but further rigorous evaluation of its clinical value and collaborative workflow is needed.<\/jats:p>","DOI":"10.3389\/fmed.2026.1824724","type":"journal-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T04:51:08Z","timestamp":1783486268000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Human-machine collaboration in colorectal cancer screening: a narrative review of artificial intelligence-assisted colonoscopy"],"prefix":"10.3389","volume":"13","author":[{"given":"Chi","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Endoscopy Center, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine","place":["Hangzhou, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinguo","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Endoscopy Center, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine","place":["Hangzhou, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhou","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Endoscopy Center, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine","place":["Hangzhou, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangliang","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Endoscopy Center, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine","place":["Hangzhou, Zhejiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,7,8]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3322\/caac.21834","article-title":"Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"74","author":"Bray","year":"2024","journal-title":"CA Cancer J Clin"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1136\/gutjnl-2022-327736","article-title":"Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN","volume":"72","author":"Morgan","year":"2023","journal-title":"Gut"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.jncc.2024.01.006","article-title":"Cancer incidence and mortality in China, 2022","volume":"4","author":"Han","year":"2024","journal-title":"J Natl Cancer Cent"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"1977","DOI":"10.1056\/NEJM199312303292701","article-title":"Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup","volume":"329","author":"Winawer","year":"1993","journal-title":"N Engl J Med"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.gie.2017.04.003","article-title":"Colorectal cancer screening: recommendations for physicians and patients from the U.S. multi-society task force on colorectal Cancer","volume":"86","author":"Rex","year":"2017","journal-title":"Gastrointest Endosc"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1111\/j.1572-0241.2006.00390.x","article-title":"Polyp miss rate determined by tandem colonoscopy: a systematic review","volume":"101","author":"van Rijn","year":"2006","journal-title":"Am J Gastroenterol"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"957","DOI":"10.1136\/gutjnl-2013-304880","article-title":"Postcolonoscopy colorectal cancers are preventable: a population-based study","volume":"63","author":"le Clercq","year":"2014","journal-title":"Gut"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.3390\/diagnostics15141759","article-title":"An additional 30-s observation of the right-sided Colon using a novel endoscopic system with texture and color enhancement imaging decreases polyp miss rates: a multicenter study","volume":"15","author":"Inagaki","year":"2025","journal-title":"Diagnostics (Basel)"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"l 6109","DOI":"10.1136\/bmj.l6109","article-title":"Outcomes at follow-up of negative colonoscopy in average risk population: systematic review and meta-analysis","volume":"367","author":"Heisser","year":"2019","journal-title":"BMJ"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1053\/j.gastro.2022.03.007","article-title":"Impact of artificial intelligence on miss rate of colorectal neoplasia","volume":"163","author":"Wallace","year":"2022","journal-title":"Gastroenterology"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"2114","DOI":"10.1001\/jama.2022.6644","article-title":"Association of Physician Adenoma Detection Rates With Postcolonoscopy Colorectal Cancer","volume":"327","author":"Schottinger","year":"2022","journal-title":"JAMA"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"26317745251398945","DOI":"10.1177\/26317745251398945","article-title":"Artificial intelligence in gastrointestinal endoscopy: current evidence and future directions","volume":"18","author":"Jamil","year":"2025","journal-title":"Ther Adv Gastrointest Endosc"},{"key":"ref13","doi-asserted-by":"publisher","first-page":"6794","DOI":"10.3748\/wjg.v27.i40.6794","article-title":"Artificial intelligence in gastroenterology: a state-of-the-art review","volume":"27","author":"Kr\u00f6ner","year":"2021","journal-title":"World J Gastroenterol"},{"key":"ref14","doi-asserted-by":"publisher","first-page":"e98528","DOI":"10.7759\/cureus.98528","article-title":"Artificial intelligence in colonoscopy: a systematic review of adenoma versus polyp detection rates","volume":"17","author":"Rabba","year":"2025","journal-title":"Cureus"},{"key":"ref15","doi-asserted-by":"publisher","first-page":"e00671","DOI":"10.14309\/ctg.0000000000000671","article-title":"Artificial intelligence-assisted colonoscopy in real-world clinical practice: a systematic review and Meta-analysis","volume":"15","author":"Wei","year":"2024","journal-title":"Clin Transl Gastroenterol"},{"key":"ref16","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1055\/a-0959-0505","article-title":"Bowel preparation for colonoscopy: European Society of Gastrointestinal Endoscopy (ESGE) guideline-update 2019","volume":"51","author":"Hassan","year":"2019","journal-title":"Endoscopy"},{"key":"ref17","doi-asserted-by":"publisher","first-page":"798","DOI":"10.1053\/j.gastro.2025.02.002","article-title":"Optimizing bowel preparation quality for colonoscopy: consensus recommendations by the US multi-society task force on colorectal Cancer","volume":"168","author":"Jacobson","year":"2025","journal-title":"Gastroenterology"},{"key":"ref18","doi-asserted-by":"publisher","first-page":"e53828","DOI":"10.7759\/cureus.53828","article-title":"Comparison of objectively assessed versus patient-reported clarity of last rectal effluent for the prediction of quality of bowel preparation for colonoscopy: a prospective, case-control study","volume":"16","author":"Patwa","year":"2024","journal-title":"Cureus"},{"key":"ref19","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1038\/s41746-023-00786-y","article-title":"Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence","volume":"6","author":"Zhu","year":"2023","journal-title":"NPJ Digit Med"},{"key":"ref20","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1016\/j.gie.2008.05.057","article-title":"The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research","volume":"69","author":"Lai","year":"2009","journal-title":"Gastrointest Endosc"},{"key":"ref21","doi-asserted-by":"publisher","first-page":"1696","DOI":"10.1111\/j.1572-0241.2002.05827.x","article-title":"Impact of bowel preparation on efficiency and cost of colonoscopy","volume":"97","author":"Rex","year":"2002","journal-title":"Am J Gastroenterol"},{"key":"ref22","doi-asserted-by":"publisher","first-page":"e00169","DOI":"10.14309\/ctg.0000000000000169","article-title":"Impact of inadequate bowel cleansing on Colonoscopic findings in routine screening practice","volume":"11","author":"Niedermaier","year":"2020","journal-title":"Clin Transl Gastroenterol"},{"key":"ref23","doi-asserted-by":"publisher","first-page":"638","DOI":"10.5946\/ce.2025.022","article-title":"Clinical significance of computer-aided quality assessment systems in colonoscopy: a comprehensive review","volume":"58","author":"Lwin","year":"2025","journal-title":"Clin Endosc"},{"key":"ref24","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1093\/jcag\/gwac013","article-title":"Automated detection of bowel preparation scoring and adequacy With deep convolutional neural networks","volume":"5","author":"Low","year":"2022","journal-title":"J Can Assoc Gastroenterol"},{"key":"ref25","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1016\/j.gie.2021.11.041","article-title":"Artificial intelligence for the assessment of bowel preparation","volume":"95","author":"Lee","year":"2022","journal-title":"Gastrointest Endosc"},{"key":"ref26","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1016\/j.gie.2019.11.026","article-title":"A novel artificial intelligence system for the assessment of bowel preparation (with video)","volume":"91","author":"Zhou","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref27","doi-asserted-by":"publisher","first-page":"e697","DOI":"10.1016\/S2589-7500(21)00109-6","article-title":"Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study","volume":"3","author":"Zhou","year":"2021","journal-title":"Lancet Digit Health"},{"key":"ref28","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1016\/j.cgh.2024.07.039","article-title":"Systematic review and Meta-analysis: the three-year post-colonoscopy colorectal Cancer rate as per the world endoscopy organization methodology","volume":"23","author":"Kader","year":"2025","journal-title":"Clin Gastroenterol Hepatol"},{"key":"ref29","doi-asserted-by":"publisher","first-page":"2192","DOI":"10.1016\/j.cgh.2020.03.046","article-title":"Association between Endoscopist annual procedure volume and colonoscopy quality: systematic review and Meta-analysis","volume":"18","author":"Forbes","year":"2020","journal-title":"Clin Gastroenterol Hepatol"},{"key":"ref30","doi-asserted-by":"publisher","first-page":"1451835","DOI":"10.1155\/2019\/1451835","article-title":"Ilececum: a comprehensive review","volume":"2019","author":"Tang","year":"2019","journal-title":"Can J Gastroenterol Hepatol"},{"key":"ref31","doi-asserted-by":"publisher","first-page":"1754","DOI":"10.14309\/ajg.0000000000002972","article-title":"Quality indicators for colonoscopy","volume":"119","author":"Rex","year":"2024","journal-title":"Am J Gastroenterol"},{"key":"ref32","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1055\/a-2304-3219","article-title":"Colorectal polypectomy and endoscopic mucosal resection: European Society of Gastrointestinal Endoscopy (ESGE) guideline-update 2024","volume":"56","author":"Ferlitsch","year":"2024","journal-title":"Endoscopy"},{"key":"ref33","volume-title":"Bowel cancer Screening Programme Standards: valid for data Collected from 1 April 2018 (2024 Update)","year":"2024"},{"key":"ref34","doi-asserted-by":"publisher","first-page":"24","DOI":"10.5009\/gnl250301","article-title":"Colonoscopy quality and strategies for improvement","volume":"20","author":"Lee","year":"2026","journal-title":"Gut Liver"},{"key":"ref35","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1002\/ueg2.12501","article-title":"An intraprocedural bowel cleansing system for difficult-to-prepare patients-a multicenter prospective feasibility study","volume":"12","author":"van Riswijk","year":"2024","journal-title":"United European Gastroenterol J"},{"key":"ref36","doi-asserted-by":"publisher","first-page":"967","DOI":"10.14309\/ajg.0000000000001146","article-title":"Strong reduction of colorectal Cancer incidence and mortality after screening colonoscopy: prospective cohort study from Germany","volume":"116","author":"Guo","year":"2021","journal-title":"Am J Gastroenterol"},{"key":"ref37","doi-asserted-by":"publisher","first-page":"67","DOI":"10.5114\/wiitm.2018.74341","article-title":"Cecal intubation rates in different eras of endoscopic technological development","volume":"13","author":"Matyja","year":"2018","journal-title":"Wideochir Inne Tech Maloinwazyjne"},{"key":"ref38","doi-asserted-by":"publisher","first-page":"3950","DOI":"10.1109\/JBHI.2022.3160098","article-title":"Artificial intelligence for colonoscopy: past, present, and future","volume":"26","author":"Tavanapong","year":"2022","journal-title":"IEEE J Biomed Health Inform"},{"key":"ref39","doi-asserted-by":"publisher","first-page":"E1778-E 1784","DOI":"10.1055\/a-1546-8266","article-title":"Automated detection of cecal intubation with variable bowel preparation using a deep convolutional neural network","volume":"9","author":"Low","year":"2021","journal-title":"Endosc Int Open"},{"key":"ref40","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1093\/jcag\/gwad017","article-title":"Automated detection of anatomical landmarks during colonoscopy using a deep learning model","volume":"6","author":"Taghiakbari","year":"2023","journal-title":"J Can Assoc Gastroenterol"},{"key":"ref41","doi-asserted-by":"publisher","first-page":"353","DOI":"10.19538\/j.cjps.issn1005-2208.2020.03.28","article-title":"Application of deep learning artificial intelligence in colonoscopy","volume":"40","author":"Yalikong","year":"2020","journal-title":"Chin J Pract Surg"},{"key":"ref42","doi-asserted-by":"publisher","first-page":"802","DOI":"10.14309\/ajg.0000000000002055","article-title":"Reduced adenoma miss rate With 9-minute vs 6-minute withdrawal times for screening colonoscopy: a multicenter randomized tandem trial","volume":"118","author":"Zhao","year":"2023","journal-title":"Am J Gastroenterol"},{"key":"ref43","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1186\/s12876-025-04257-4","article-title":"Impact of withdrawal time on the adenoma detection rate in elderly patients during unsedated colonoscopy: a retrospective multicenter study","volume":"25","author":"Liu","year":"2025","journal-title":"BMC Gastroenterol"},{"key":"ref44","doi-asserted-by":"publisher","first-page":"102019","DOI":"10.1016\/j.bpg.2025.102019","article-title":"How many minutes should we take for withdrawal - guideline recommendations and upcoming evidence","volume":"80","author":"Garborg","year":"2026","journal-title":"Best Pract Res Clin Gastroenterol"},{"key":"ref45","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.1080\/00365521.2018.1533581","article-title":"Risk factors associated with the detection and missed diagnosis of colorectal flat adenoma: a Chinese multicenter observational study","volume":"53","author":"Xiang","year":"2018","journal-title":"Scand J Gastroenterol"},{"key":"ref46","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.gie.2011.03.003","article-title":"Quality of colonoscopy withdrawal technique and variability in adenoma detection rates (with videos)","volume":"74","author":"Lee","year":"2011","journal-title":"Gastrointest Endosc"},{"key":"ref47","doi-asserted-by":"publisher","first-page":"1054","DOI":"10.1016\/j.gie.2025.10.036","article-title":"Required withdrawal times to meet adenoma detection targets during colonoscopy","volume":"103","author":"Taghiakbari","year":"2026","journal-title":"Gastrointest Endosc"},{"key":"ref48","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1016\/S2468-1253(19)30413-3","article-title":"Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study","volume":"5","author":"Gong","year":"2020","journal-title":"Lancet Gastroenterol Hepatol"},{"key":"ref49","doi-asserted-by":"publisher","first-page":"1118","DOI":"10.1055\/a-2122-1671","article-title":"Assisted documentation as a new focus for artificial intelligence in endoscopy: the precedent of reliable withdrawal time and image reporting","volume":"55","author":"Lux","year":"2023","journal-title":"Endoscopy"},{"key":"ref50","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1016\/j.gie.2023.10.035","article-title":"Artificial intelligence-assisted real-time monitoring of effective withdrawal time during colonoscopy: a novel quality marker of colonoscopy","volume":"99","author":"Lui","year":"2024","journal-title":"Gastrointest Endosc"},{"key":"ref51","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1055\/s-2007-1001305","article-title":"Efficacy of total colonoscopy with a transparent cap in comparison with colonoscopy without the cap","volume":"30","author":"Matsushita","year":"1998","journal-title":"Endoscopy"},{"key":"ref52","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1055\/a-1799-8297","article-title":"Artificial intelligence-based assessments of colonoscopic withdrawal technique: a new method for measuring and enhancing the quality of fold examination","volume":"54","author":"Liu","year":"2022","journal-title":"Endoscopy"},{"key":"ref53","doi-asserted-by":"publisher","first-page":"111499","DOI":"10.3748\/wjg.v31.i40.111499","article-title":"Artificial intelligence in colonoscopy: enhancing quality indicators for optimal patient outcomes","volume":"31","author":"Dimopoulou","year":"2025","journal-title":"World J Gastroenterol"},{"key":"ref54","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1111\/den.15086","article-title":"Effect of computer-aided detection during colonoscopy on adenoma detection rate in a community hospital setting: randomized controlled trial","volume":"37","author":"Yabuuchi","year":"2025","journal-title":"Dig Endosc"},{"key":"ref55","doi-asserted-by":"publisher","first-page":"S123","DOI":"10.14309\/01.ajg.0001129752.70174.a3","article-title":"S573 artificial intelligence-driven colonoscopy for early detection of colorectal Cancer: a Meta-analysis and systematic review of RCTs","volume":"120","author":"Ayinde","year":"2025","journal-title":"Am J Gastroenterol"},{"key":"ref56","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.dld.2024.09.003","article-title":"Effectiveness of artificial intelligence assisted colonoscopy on adenoma and polyp miss rate: a meta-analysis of tandem RCTs","volume":"57","author":"Maida","year":"2025","journal-title":"Dig Liver Dis"},{"key":"ref57","doi-asserted-by":"publisher","first-page":"a25215169","DOI":"10.1055\/a-2521-5169","article-title":"Improvement in adenoma detection rate by artificial intelligence-assisted colonoscopy: multicenter quasi-randomized controlled trial","volume":"13","author":"Lagstr\u00f6m","year":"2025","journal-title":"Endosc Int Open"},{"key":"ref58","doi-asserted-by":"publisher","first-page":"1813","DOI":"10.1136\/gutjnl-2018-317500","article-title":"Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study","volume":"68","author":"Wang","year":"2019","journal-title":"Gut"},{"key":"ref59","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1038\/s41746-025-02270-1","article-title":"A novel cloud-based artificial intelligence for real-time detection of colorectal neoplasia - a randomized controlled trial (EAGLE)","volume":"9","author":"Kader","year":"2025","journal-title":"NPJ Digit Med"},{"key":"ref60","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1038\/s41597-025-04535-6","article-title":"Eye-tracking dataset of endoscopist-AI teaming during colonoscopy: retrospective and real-time acquisition","volume":"12","author":"Zhu","year":"2025","journal-title":"Sci Data"},{"key":"ref61","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3480247","article-title":"Initial responses to false positives in AI-supported continuous interactions: a colonoscopy case study","volume":"12","author":"Van Berkel","year":"2022","journal-title":"ACM Trans Interact Intell Syst"},{"key":"ref62","doi-asserted-by":"publisher","first-page":"100746","DOI":"10.1016\/j.gastha.2025.100746","article-title":"Provider attitudes and perceptions on using artificial intelligence in colonoscopy: a systematic review and Meta-analysis","volume":"4","author":"Soleymanjahi","year":"2025","journal-title":"Gastro Hep Adv"},{"key":"ref63","doi-asserted-by":"publisher","first-page":"E360","DOI":"10.1055\/a-1068-9228","article-title":"Endocytoscopy with NBI has the potential to correctly diagnose diminutive colorectal polyps that are difficult to diagnose using conventional NBI","volume":"8","author":"Kataoka","year":"2020","journal-title":"Endosc Int Open"},{"key":"ref64","doi-asserted-by":"publisher","first-page":"2114","DOI":"10.1016\/j.dld.2025.08.012","article-title":"Comparison of the diagnostic performance of narrow-band imaging endocytoscopy and staining-based endocytoscopy for colorectal lesions","volume":"57","author":"Liu","year":"2025","journal-title":"Dig Liver Dis"},{"key":"ref65","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1016\/j.gie.2022.11.006","article-title":"Interobserver agreement of the modified Paris classification and histology prediction of colorectal lesions in patients with inflammatory bowel disease","volume":"97","author":"Guerrero Vinsard","year":"2023","journal-title":"Gastrointest Endosc"},{"key":"ref66","doi-asserted-by":"publisher","first-page":"102020","DOI":"10.1016\/j.bpg.2025.102020","article-title":"Role of CADx in colonoscopy: lessons from real-life studies","volume":"80","author":"Bustamante-Bal\u00e9n","year":"2026","journal-title":"Best Pract Res Clin Gastroenterol"},{"key":"ref67","doi-asserted-by":"publisher","first-page":"8351","DOI":"10.1038\/s41467-025-63812-5","article-title":"Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study","volume":"16","author":"Wang","year":"2025","journal-title":"Nat Commun"},{"key":"ref68","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1016\/j.gie.2015.08.004","article-title":"Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy","volume":"83","author":"Kominami","year":"2016","journal-title":"Gastrointest Endosc"},{"key":"ref69","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1038\/s41598-019-56697-0","article-title":"Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model","volume":"10","author":"Song","year":"2020","journal-title":"Sci Rep"},{"key":"ref70","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.gie.2020.02.033","article-title":"Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps: a systematic review and meta-analysis","volume":"92","author":"Lui","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref71","doi-asserted-by":"publisher","first-page":"357","DOI":"10.7326\/M18-0249","article-title":"Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy: a prospective study","volume":"169","author":"Mori","year":"2018","journal-title":"Ann Intern Med"},{"key":"ref72","doi-asserted-by":"publisher","first-page":"502.e1","DOI":"10.1016\/j.gie.2014.12.022","article-title":"ASGE Technology Committee systematic review and meta-analysis assessing the ASGE PIVI thresholds for adopting real-time endoscopic assessment of the histology of diminutive colorectal polyps","volume":"81","author":"Technology Committee","year":"2015","journal-title":"Gastrointest Endosc"},{"key":"ref73","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1016\/j.gie.2020.09.018","article-title":"Real-time artificial intelligence-based histologic classification of colorectal polyps with augmented visualization","volume":"93","author":"Rodriguez-Diaz","year":"2021","journal-title":"Gastrointest Endosc"},{"key":"ref74","doi-asserted-by":"publisher","first-page":"1070","DOI":"10.1016\/j.gie.2024.06.029","article-title":"Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human\/artificial intelligence interaction","volume":"100","author":"van der Zander","year":"2024","journal-title":"Gastrointest Endosc"},{"key":"ref75","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1016\/S2468-1253(25)00133-5","article-title":"Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study","volume":"10","author":"Budzy\u0144","year":"2025","journal-title":"Lancet Gastroenterol Hepatol"},{"key":"ref76","doi-asserted-by":"publisher","first-page":"7","DOI":"10.15403\/jgld-6709","article-title":"Beyond the hype: understanding the limits, errors and risk areas of artificial intelligence in gastroenterology","volume":"35","author":"Popa","year":"2026","journal-title":"J Gastrointestin Liver Dis"},{"key":"ref77","doi-asserted-by":"publisher","first-page":"126","DOI":"10.4253\/wjge.v16.i3.126","article-title":"Human-artificial intelligence interaction in gastrointestinal endoscopy","volume":"16","author":"Campion","year":"2024","journal-title":"World J Gastrointest Endosc"}],"container-title":["Frontiers in Medicine"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fmed.2026.1824724\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T15:11:46Z","timestamp":1783696306000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fmed.2026.1824724\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,8]]},"references-count":77,"alternative-id":["10.3389\/fmed.2026.1824724"],"URL":"https:\/\/doi.org\/10.3389\/fmed.2026.1824724","relation":{},"ISSN":["2296-858X"],"issn-type":[{"value":"2296-858X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,8]]},"article-number":"1824724"}}