{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T01:38:16Z","timestamp":1792719496716,"version":"4.5.0"},"reference-count":73,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T00:00:00Z","timestamp":1792713600000},"content-version":"vor","delay-in-days":87,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Zigong Key Science and Technology Plan Project","award":["2020ZC28"],"award-info":[{"award-number":["2020ZC28"]}]},{"name":"Zigong Municipal Health and Science Research Project","award":["22yb079"],"award-info":[{"award-number":["22yb079"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"DOI":"10.1186\/s12880-026-02586-8","type":"journal-article","created":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T10:15:46Z","timestamp":1785233746000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Effectiveness of artificial intelligence-assisted colonoscopy for colorectal lesion detection: a systematic review and meta-analysis of randomized controlled trials"],"prefix":"10.1186","volume":"26","author":[{"given":"Xia","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxia","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dengchao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"key":"2586_CR1","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3322\/caac.21834","volume":"74","author":"F Bray","year":"2024","unstructured":"Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74:229\u201363. https:\/\/doi.org\/10.3322\/caac.21834.","journal-title":"CA Cancer J Clin"},{"key":"2586_CR2","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1056\/NEJMoa1100370","volume":"366","author":"AG Zauber","year":"2012","unstructured":"Zauber AG, Winawer SJ, O\u2019Brien MJ, et al. Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. N Engl J Med. 2012;366:687\u201396. https:\/\/doi.org\/10.1056\/NEJMoa1100370.","journal-title":"N Engl J Med"},{"key":"2586_CR3","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1056\/NEJMoa2208375","volume":"387","author":"M Bretthauer","year":"2022","unstructured":"Bretthauer M, L\u00f8berg M, Wieszczy P, et al. Effect of Colonoscopy Screening on Risks of Colorectal Cancer and Related Death. N Engl J Med. 2022;387:1547\u201356. https:\/\/doi.org\/10.1056\/NEJMoa2208375.","journal-title":"N Engl J Med"},{"key":"2586_CR4","doi-asserted-by":"publisher","first-page":"2114","DOI":"10.1001\/jama.2022.6644","volume":"327","author":"JE Schottinger","year":"2022","unstructured":"Schottinger JE, Jensen CD, Ghai NR, et al. Association of Physician Adenoma Detection Rates With Postcolonoscopy Colorectal Cancer. JAMA. 2022;327:2114\u201322. https:\/\/doi.org\/10.1001\/jama.2022.6644.","journal-title":"JAMA"},{"issue":"3","key":"2586_CR5","doi-asserted-by":"publisher","first-page":"332","DOI":"10.5946\/ce.2022.037","volume":"55","author":"SB Park","year":"2022","unstructured":"Park SB, Cha JM. Quality indicators in colonoscopy: the chasm between ideal and reality. Clin Endosc. 2022;55(3):332\u20138. https:\/\/doi.org\/10.5946\/ce.2022.037.","journal-title":"Clin Endosc"},{"key":"2586_CR6","doi-asserted-by":"publisher","first-page":"1795","DOI":"10.1056\/NEJMoa0907667","volume":"362","author":"MF Kaminski","year":"2010","unstructured":"Kaminski MF, Regula J, Kraszewska E, et al. Quality indicators for colonoscopy and the risk of interval cancer. N Engl J Med. 2010;362:1795\u2013803. https:\/\/doi.org\/10.1056\/NEJMoa0907667.","journal-title":"N Engl J Med"},{"key":"2586_CR7","doi-asserted-by":"publisher","first-page":"1298","DOI":"10.1056\/NEJMoa1309086","volume":"370","author":"DA Corley","year":"2014","unstructured":"Corley DA, Jensen CD, Marks AR, et al. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med. 2014;370:1298\u2013306. https:\/\/doi.org\/10.1056\/NEJMoa1309086.","journal-title":"N Engl J Med"},{"key":"2586_CR8","doi-asserted-by":"publisher","first-page":"E878","DOI":"10.1055\/a-0605-3264","volume":"6","author":"T Amano","year":"2018","unstructured":"Amano T, Nishida T, Shimakoshi H, et al. Number of polyps detected is a useful indicator of quality of clinical colonoscopy. Endosc Int Open. 2018;6:E878\u201384. https:\/\/doi.org\/10.1055\/a-0605-3264.","journal-title":"Endosc Int Open"},{"key":"2586_CR9","doi-asserted-by":"publisher","first-page":"24","DOI":"10.21037\/tgh-22-92","volume":"8","author":"R Ishtiaq","year":"2023","unstructured":"Ishtiaq R, Zulfiqar L, Gangwani MK, Aziz M. Adenoma detection rate vs. adenoma per colonoscopy as quality indicators for colon cancer screening. Transl Gastroenterol Hepatol. 2023;8:24. https:\/\/doi.org\/10.21037\/tgh-22-92.","journal-title":"Transl Gastroenterol Hepatol"},{"key":"2586_CR10","doi-asserted-by":"publisher","first-page":"1315","DOI":"10.1038\/ajg.2012.161","volume":"107","author":"DK Rex","year":"2012","unstructured":"Rex DK, Ahnen DJ, Baron JA, et al. Serrated lesions of the colorectum: review and recommendations from an expert panel. Am J Gastroenterol. 2012;107:1315\u201329. https:\/\/doi.org\/10.1038\/ajg.2012.161. quiz 1314, 1330.","journal-title":"Am J Gastroenterol"},{"key":"2586_CR11","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1053\/j.gastro.2019.10.026","volume":"158","author":"S Gupta","year":"2020","unstructured":"Gupta S, Lieberman D, Anderson JC, et al. Recommendations for Follow-Up After Colonoscopy and Polypectomy: A Consensus Update by the US Multi-Society Task Force on Colorectal Cancer. Gastroenterology. 2020;158:1131\u2013e11535. https:\/\/doi.org\/10.1053\/j.gastro.2019.10.026.","journal-title":"Gastroenterology"},{"key":"2586_CR12","doi-asserted-by":"publisher","first-page":"118","DOI":"10.11622\/smedj.2022044","volume":"63","author":"JW Li","year":"2022","unstructured":"Li JW, Wang LM, Ang TL. Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications. Singap Med J. 2022;63:118\u201324. https:\/\/doi.org\/10.11622\/smedj.2022044.","journal-title":"Singap Med J"},{"issue":"5","key":"2586_CR13","doi-asserted-by":"publisher","first-page":"797","DOI":"10.3390\/cancers17050797","volume":"17","author":"M Spadaccini","year":"2025","unstructured":"Spadaccini M, Menini M, Massimi D, et al. AI and Polyp Detection During Colonoscopy. Cancers (Basel). 2025;17(5):797. https:\/\/doi.org\/10.3390\/cancers17050797.","journal-title":"Cancers (Basel)"},{"key":"2586_CR14","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.gie.2024.08.033","volume":"101","author":"J Makar","year":"2025","unstructured":"Makar J, Abdelmalak J, Con D, et al. Use of artificial intelligence improves colonoscopy performance in adenoma detection: a systematic review and meta-analysis. Gastrointest Endosc. 2025;101:68\u2013e818. https:\/\/doi.org\/10.1016\/j.gie.2024.08.033.","journal-title":"Gastrointest Endosc"},{"key":"2586_CR15","doi-asserted-by":"publisher","first-page":"1652","DOI":"10.7326\/ANNALS-24-00981","volume":"177","author":"S Soleymanjahi","year":"2024","unstructured":"Soleymanjahi S, Huebner J, Elmansy L, et al. Artificial Intelligence-Assisted Colonoscopy for Polyp Detection: A Systematic Review and Meta-analysis. Ann Intern Med. 2024;177:1652\u201363. https:\/\/doi.org\/10.7326\/ANNALS-24-00981.","journal-title":"Ann Intern Med"},{"key":"2586_CR16","doi-asserted-by":"publisher","first-page":"n71","DOI":"10.1136\/bmj.n71","volume":"372","author":"MJ Page","year":"2021","unstructured":"Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. https:\/\/doi.org\/10.1136\/bmj.n71.","journal-title":"BMJ"},{"key":"2586_CR17","first-page":"100082","volume":"10","author":"RA Agha","year":"2025","unstructured":"Agha RA, Mathew G, Rashid R, et al. Transparency In The reporting of Artificial INtelligence \u2013 the TITAN guideline. Premier J Sci. 2025;10:100082.","journal-title":"Premier J Sci"},{"key":"2586_CR18","doi-asserted-by":"crossref","unstructured":"Higgins JPT, Savovi\u0107 J, Page MJ, et al. Assessing risk of bias in a randomized trial. Cochrane Handb Syst Rev Interv. 2019:205\u201328.","DOI":"10.1002\/9781119536604.ch8"},{"key":"2586_CR19","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1136\/bmj.327.7414.557","volume":"327","author":"JP Higgins","year":"2003","unstructured":"Higgins JP, Thompson SG, Deeks JJ, et al. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557\u201360. https:\/\/doi.org\/10.1136\/bmj.327.7414.557.","journal-title":"BMJ"},{"key":"2586_CR20","doi-asserted-by":"publisher","first-page":"924","DOI":"10.1136\/bmj.39489.470347.AD","volume":"336","author":"GH Guyatt","year":"2008","unstructured":"Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336:924\u20136. https:\/\/doi.org\/10.1136\/bmj.39489.470347.AD.","journal-title":"BMJ"},{"key":"2586_CR21","unstructured":"Thorlund K, Engstr\u00f8m J, Wetterslev J, et al. User Manual for Trial Sequential Analysis (TSA), 2nd ed. Copenhagen Trial Unit, Centre for Clinical Intervention Research, Rigshospitalet, Copenhagen, Denmark; 2017. Available from: https:\/\/ctu.dk\/wp-content\/uploads\/2021\/03\/2017-10-10-TSA-Manual-ENG_ER.pdf."},{"key":"2586_CR22","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1055\/a-1966-0661","volume":"55","author":"A Ahmad","year":"2023","unstructured":"Ahmad A, Wilson A, Haycock A, et al. Evaluation of a real-time computer-aided polyp detection system during screening colonoscopy: AI-DETECT study. Endoscopy. 2023;55:313\u20139. https:\/\/doi.org\/10.1055\/a-1966-0661.","journal-title":"Endoscopy"},{"key":"2586_CR23","doi-asserted-by":"publisher","first-page":"581","DOI":"10.3390\/jcm14020581","volume":"14","author":"AA Alali","year":"2025","unstructured":"Alali AA, Alhashmi A, Alotaibi N, et al. Artificial Intelligence for Adenoma and Polyp Detection During Screening and Surveillance Colonoscopy: A Randomized-Controlled Trial. J Clin Med. 2025;14:581. https:\/\/doi.org\/10.3390\/jcm14020581.","journal-title":"J Clin Med"},{"key":"2586_CR24","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1016\/j.gie.2022.09.023","volume":"97","author":"S Aniwan","year":"2023","unstructured":"Aniwan S, Mekritthikrai K, Kerr SJ, et al. Computer-aided detection, mucosal exposure device, their combination, and standard colonoscopy for adenoma detection: a randomized controlled trial. Gastrointest Endosc. 2023;97:507\u201316. https:\/\/doi.org\/10.1016\/j.gie.2022.09.023.","journal-title":"Gastrointest Endosc"},{"key":"2586_CR25","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.14309\/ajg.0000000000002664","volume":"119","author":"M Desai","year":"2024","unstructured":"Desai M, Ausk K, Brannan D, et al. Use of a Novel Artificial Intelligence System Leads to the Detection of Significantly Higher Number of Adenomas During Screening and Surveillance Colonoscopy: Results From a Large, Prospective, US Multicenter, Randomized Clinical Trial. Am J Gastroenterol. 2024;119:1383\u201391. https:\/\/doi.org\/10.14309\/ajg.0000000000002664.","journal-title":"Am J Gastroenterol"},{"key":"2586_CR26","doi-asserted-by":"publisher","first-page":"1194","DOI":"10.1080\/00365521.2023.2212309","volume":"58","author":"C Engelke","year":"2023","unstructured":"Engelke C, Graf M, Maass C, et al. Prospective study of computer-aided detection of colorectal adenomas in hospitalized patients. Scand J Gastroenterol. 2023;58:1194\u20139. https:\/\/doi.org\/10.1080\/00365521.2023.2212309.","journal-title":"Scand J Gastroenterol"},{"key":"2586_CR27","doi-asserted-by":"publisher","first-page":"528","DOI":"10.1016\/j.gie.2022.09.029","volume":"97","author":"AZ Gimeno-Garc\u00eda","year":"2023","unstructured":"Gimeno-Garc\u00eda AZ, Hern\u00e1ndez Negrin D, Hern\u00e1ndez A, et al. Usefulness of a novel computer-aided detection system for colorectal neoplasia: a randomized controlled trial. Gastrointest Endosc. 2023;97:528\u2013e5361. https:\/\/doi.org\/10.1016\/j.gie.2022.09.029.","journal-title":"Gastrointest Endosc"},{"key":"2586_CR28","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1016\/j.cgh.2021.09.009","volume":"20","author":"JR Glissen Brown","year":"2022","unstructured":"Glissen Brown JR, Mansour NM, Wang P, et al. Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial). Clin Gastroenterol Hepatol. 2022;20:1499\u2013e15074. https:\/\/doi.org\/10.1016\/j.cgh.2021.09.009.","journal-title":"Clin Gastroenterol Hepatol"},{"key":"2586_CR29","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1016\/S2468-1253(19)30413-3","volume":"5","author":"D Gong","year":"2020","unstructured":"Gong D, Wu L, Zhang J, et al. Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study. Lancet Gastroenterol Hepatol. 2020;5:352\u201361. https:\/\/doi.org\/10.1016\/S2468-1253(19)30413-3.","journal-title":"Lancet Gastroenterol Hepatol"},{"key":"2586_CR30","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1002\/ueg2.12354","volume":"11","author":"R H\u00fcneburg","year":"2023","unstructured":"H\u00fcneburg R, Bucksch K, Schmei\u00dfer F, et al. Real-time use of artificial intelligence (CADEYE) in colorectal cancer surveillance of patients with Lynch syndrome-A randomized controlled pilot trial (CADLY). United Eur Gastroenterol J. 2023;11:60\u20138. https:\/\/doi.org\/10.1002\/ueg2.12354.","journal-title":"United Eur Gastroenterol J"},{"key":"2586_CR31","first-page":"1111","volume":"63","author":"B Jin","year":"2024","unstructured":"Jin B, Huang L, Liu S, et al. Effect of an artificial intelligence\u2013assisted recognition system on colonoscopy quality. Chin J Intern Med. 2024;63:1111\u20135. (In Chinese).","journal-title":"Chin J Intern Med"},{"key":"2586_CR32","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1007\/s00535-021-01808-w","volume":"56","author":"S Kamba","year":"2021","unstructured":"Kamba S, Tamai N, Saitoh I, et al. Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial. J Gastroenterol. 2021;56:746\u201357. https:\/\/doi.org\/10.1007\/s00535-021-01808-w.","journal-title":"J Gastroenterol"},{"key":"2586_CR33","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1016\/S2468-1253(23)00104-8","volume":"8","author":"D Karsenti","year":"2023","unstructured":"Karsenti D, Tharsis G, Perrot B, et al. Effect of real-time computer-aided detection of colorectal adenoma in routine colonoscopy (COLO-GENIUS): a single-centre randomised controlled trial. Lancet Gastroenterol Hepatol. 2023;8:726\u201334. https:\/\/doi.org\/10.1016\/S2468-1253(23)00104-8.","journal-title":"Lancet Gastroenterol Hepatol"},{"key":"2586_CR34","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.igie.2023.01.013","volume":"2","author":"J Lachter","year":"2023","unstructured":"Lachter J, Schlachter SC, Plowman RS, et al. Novel artificial intelligence\u2013enabled deep learning system to enhance adenoma detection: a prospective randomized controlled study. iGIE. 2023;2:52\u20138.","journal-title":"iGIE"},{"key":"2586_CR35","doi-asserted-by":"publisher","first-page":"a25215169","DOI":"10.1055\/a-2521-5169","volume":"13","author":"RMB Lagstr\u00f6m","year":"2025","unstructured":"Lagstr\u00f6m RMB, Br\u00e4uner KB, Bielik J, et al. Improvement in adenoma detection rate by artificial intelligence-assisted colonoscopy: Multicenter quasi-randomized controlled trial. Endosc Int Open. 2025;13:a25215169. https:\/\/doi.org\/10.1055\/a-2521-5169.","journal-title":"Endosc Int Open"},{"key":"2586_CR36","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1016\/j.cgh.2023.10.019","volume":"22","author":"LHS Lau","year":"2024","unstructured":"Lau LHS, Ho JCL, Lai JCT, et al. Effect of Real-Time Computer-Aided Polyp Detection System (ENDO-AID) on Adenoma Detection in Endoscopists-in-Training: A Randomized Trial. Clin Gastroenterol Hepatol. 2024;22:630\u2013e6414. https:\/\/doi.org\/10.1016\/j.cgh.2023.10.019.","journal-title":"Clin Gastroenterol Hepatol"},{"key":"2586_CR37","doi-asserted-by":"publisher","first-page":"13","DOI":"10.4103\/sjg.SJG_377_19","volume":"26","author":"WN Liu","year":"2020","unstructured":"Liu WN, Zhang YY, Bian XQ, et al. Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy. Saudi J Gastroenterol. 2020;26:13\u20139. https:\/\/doi.org\/10.4103\/sjg.SJG_377_19.","journal-title":"Saudi J Gastroenterol"},{"key":"2586_CR38","doi-asserted-by":"publisher","first-page":"175628482097916","DOI":"10.1177\/1756284820979165","volume":"13","author":"P Liu","year":"2020","unstructured":"Liu P, Wang P, Glissen Brown JR, et al. The single-monitor trial: an embedded CADe system increased adenoma detection during colonoscopy: a prospective randomized study. Th Adv Gastroenterol. 2020;13:1756284820979165. https:\/\/doi.org\/10.1177\/1756284820979165.","journal-title":"Th Adv Gastroenterol"},{"key":"2586_CR39","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.gie.2022.09.020","volume":"97","author":"TKL Lui","year":"2023","unstructured":"Lui TKL, Hang DV, Tsao SKK, et al. Computer-assisted detection versus conventional colonoscopy for proximal colonic lesions: a multicenter, randomized, tandem-colonoscopy study. Gastrointest Endosc. 2023;97:325\u2013e3341. https:\/\/doi.org\/10.1016\/j.gie.2022.09.020.","journal-title":"Gastrointest Endosc"},{"key":"2586_CR40","doi-asserted-by":"publisher","first-page":"1318","DOI":"10.14309\/ajg.0000000000002684","volume":"119","author":"TK Lui","year":"2024","unstructured":"Lui TK, Lam CP, To EW, et al. Endocuff with or without artificial intelligence-assisted colonoscopy in detection of colorectal adenoma: a randomized colonoscopy trial. Am J Gastroenterol. 2024;119:1318\u201325. https:\/\/doi.org\/10.14309\/ajg.0000000000002684.","journal-title":"Am J Gastroenterol"},{"key":"2586_CR41","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1007\/s11605-020-04802-4","volume":"25","author":"Y Luo","year":"2021","unstructured":"Luo Y, Zhang Y, Liu M, et al. Artificial Intelligence-Assisted Colonoscopy for Detection of Colon Polyps: a Prospective, Randomized Cohort Study. J Gastrointest Surg. 2021;25:2011\u20138. https:\/\/doi.org\/10.1007\/s11605-020-04802-4.","journal-title":"J Gastrointest Surg"},{"key":"2586_CR42","doi-asserted-by":"publisher","first-page":"e157","DOI":"10.1016\/S2589-7500(23)00242-X","volume":"6","author":"MHJ Maas","year":"2024","unstructured":"Maas MHJ, Neumann H, Shirin H, et al. A computer-aided polyp detection system in screening and surveillance colonoscopy: an international, multicentre, randomised, tandem trial. Lancet Digit Health. 2024;6:e157\u201365. https:\/\/doi.org\/10.1016\/S2589-7500(23)00242-X.","journal-title":"Lancet Digit Health"},{"key":"2586_CR43","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.7326\/M22-2619","volume":"176","author":"C Mangas-Sanjuan","year":"2023","unstructured":"Mangas-Sanjuan C, de-Castro L, Cubiella J, et al. Role of Artificial Intelligence in Colonoscopy Detection of Advanced Neoplasias: A Randomized Trial. Ann Intern Med. 2023;176:1145\u201352. https:\/\/doi.org\/10.7326\/M22-2619.","journal-title":"Ann Intern Med"},{"key":"2586_CR44","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1055\/a-2239-8145","volume":"56","author":"K Miyaguchi","year":"2024","unstructured":"Miyaguchi K, Tsuzuki Y, Hirooka N, et al. Linked-color imaging with or without artificial intelligence for adenoma detection: a randomized trial. Endoscopy. 2024;56:376\u201383. https:\/\/doi.org\/10.1055\/a-2239-8145.","journal-title":"Endoscopy"},{"key":"2586_CR45","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1159\/000528085","volume":"104","author":"H Nakashima","year":"2023","unstructured":"Nakashima H, Kitazawa N, Fukuyama C, et al. Clinical Evaluation of Computer-Aided Colorectal Neoplasia Detection Using a Novel Endoscopic Artificial Intelligence: A Single-Center Randomized Controlled Trial. Digestion. 2023;104:193\u2013201. https:\/\/doi.org\/10.1159\/000528085.","journal-title":"Digestion"},{"key":"2586_CR46","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1053\/j.gastro.2020.04.062","volume":"159","author":"A Repici","year":"2020","unstructured":"Repici A, Badalamenti M, Maselli R, et al. Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial. Gastroenterology. 2020;159:512\u2013e5207. https:\/\/doi.org\/10.1053\/j.gastro.2020.04.062.","journal-title":"Gastroenterology"},{"key":"2586_CR47","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1136\/gutjnl-2021-324471","volume":"71","author":"A Repici","year":"2022","unstructured":"Repici A, Spadaccini M, Antonelli G, et al. Artificial intelligence and colonoscopy experience: lessons from two randomised trials. Gut. 2022;71:757\u201365. https:\/\/doi.org\/10.1136\/gutjnl-2021-324471.","journal-title":"Gut"},{"key":"2586_CR48","doi-asserted-by":"publisher","first-page":"1171","DOI":"10.1055\/a-1849-6878","volume":"54","author":"E Rondonotti","year":"2022","unstructured":"Rondonotti E, Di Paolo D, Rizzotto ER, et al. Efficacy of a computer-aided detection system in a fecal immunochemical test-based organized colorectal cancer screening program: a randomized controlled trial (AIFIT study). Endoscopy. 2022;54:1171\u20139. https:\/\/doi.org\/10.1055\/a-1849-6878.","journal-title":"Endoscopy"},{"key":"2586_CR49","doi-asserted-by":"publisher","first-page":"e001247","DOI":"10.1136\/bmjgast-2023-001247","volume":"11","author":"J Sch\u00f6ler","year":"2024","unstructured":"Sch\u00f6ler J, Alavanja M, de Lange T, et al. Impact of AI-aided colonoscopy in clinical practice: a prospective randomised controlled trial. BMJ Open Gastroenterol. 2024;11:e001247. https:\/\/doi.org\/10.1136\/bmjgast-2023-001247.","journal-title":"BMJ Open Gastroenterol"},{"key":"2586_CR50","doi-asserted-by":"publisher","first-page":"732","DOI":"10.1053\/j.gastro.2022.05.028","volume":"163","author":"A Shaukat","year":"2022","unstructured":"Shaukat A, Lichtenstein DR, Somers SC, et al. Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial. Gastroenterology. 2022;163:732\u201341. https:\/\/doi.org\/10.1053\/j.gastro.2022.05.028.","journal-title":"Gastroenterology"},{"key":"2586_CR51","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1016\/j.dld.2024.12.023","volume":"57","author":"C Spada","year":"2025","unstructured":"Spada C, Salvi D, Ferrari C, et al. A comprehensive RCT in screening, surveillance, and diagnostic AI-assisted colonoscopies (ACCENDO-Colo study). Dig Liver Dis. 2025;57:762\u20139. https:\/\/doi.org\/10.1016\/j.dld.2024.12.023.","journal-title":"Dig Liver Dis"},{"key":"2586_CR52","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1016\/j.gie.2019.08.026","volume":"91","author":"JR Su","year":"2020","unstructured":"Su JR, Li Z, Shao XJ, et al. Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos). Gastrointest Endosc. 2020;91:415\u2013e4244. https:\/\/doi.org\/10.1016\/j.gie.2019.08.026.","journal-title":"Gastrointest Endosc"},{"key":"2586_CR53","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1055\/a-2210-7999","volume":"56","author":"K Tiankanon","year":"2024","unstructured":"Tiankanon K, Aniwan S, Kerr SJ, et al. Improvement of adenoma detection rate by two computer-aided colonic polyp detection systems in high adenoma detectors: a randomized multicenter trial. Endoscopy. 2024;56:273\u201382. https:\/\/doi.org\/10.1055\/a-2210-7999.","journal-title":"Endoscopy"},{"key":"2586_CR54","doi-asserted-by":"publisher","first-page":"701","DOI":"10.3390\/diagnostics13040701","volume":"13","author":"I Vilkoite","year":"2023","unstructured":"Vilkoite I, Tolmanis I, Meri HA, et al. The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy. Diagnostics (Basel). 2023;13:701. https:\/\/doi.org\/10.3390\/diagnostics13040701.","journal-title":"Diagnostics (Basel)"},{"key":"2586_CR55","doi-asserted-by":"publisher","first-page":"1813","DOI":"10.1136\/gutjnl-2018-317500","volume":"68","author":"P Wang","year":"2019","unstructured":"Wang P, Berzin TM, Glissen Brown JR, et al. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut. 2019;68:1813\u20139. https:\/\/doi.org\/10.1136\/gutjnl-2018-317500.","journal-title":"Gut"},{"key":"2586_CR56","first-page":"163","volume":"27","author":"LM Wang","year":"2022","unstructured":"Wang LM, Feng H, Chen WC, et al. Artificial Intelligence \u2043 based Colorectal Polyp Diagnostic System Can Increase the Detection Rate of Polyps: A Prospective Randomized Controlled Study. Chin J Gastroenterol. 2022;27:163\u20137. (In Chinese).","journal-title":"Chin J Gastroenterol"},{"key":"2586_CR57","doi-asserted-by":"publisher","first-page":"goac081","DOI":"10.1093\/gastro\/goac081","volume":"11","author":"P Wang","year":"2023","unstructured":"Wang P, Liu XG, Kang M, et al. Artificial intelligence empowers the second-observer strategy for colonoscopy: a randomized clinical trial. Gastroenterol Rep (Oxf). 2023;11:goac081. https:\/\/doi.org\/10.1093\/gastro\/goac081.","journal-title":"Gastroenterol Rep (Oxf)"},{"key":"2586_CR58","doi-asserted-by":"publisher","first-page":"1252","DOI":"10.1053\/j.gastro.2020.06.023","volume":"159","author":"P Wang","year":"2020","unstructured":"Wang P, Liu P, Glissen Brown JR, et al. Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study. Gastroenterology. 2020;159:1252\u2013e12615. https:\/\/doi.org\/10.1053\/j.gastro.2020.06.023.","journal-title":"Gastroenterology"},{"key":"2586_CR59","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/S2468-1253(19)30411-X","volume":"5","author":"P Wang","year":"2020","unstructured":"Wang P, Liu X, Berzin TM, et al. Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study. Lancet Gastroenterol Hepatol. 2020;5:343\u201351. https:\/\/doi.org\/10.1016\/S2468-1253(19)30411-X.","journal-title":"Lancet Gastroenterol Hepatol"},{"key":"2586_CR60","doi-asserted-by":"publisher","first-page":"1841","DOI":"10.14309\/ajg.0000000000002239","volume":"118","author":"MT Wei","year":"2023","unstructured":"Wei MT, Shankar U, Parvin R, et al. Evaluation of Computer-Aided Detection During Colonoscopy in the Community (AI-SEE): A Multicenter Randomized Clinical Trial. Am J Gastroenterol. 2023;118:1841\u20137. https:\/\/doi.org\/10.14309\/ajg.0000000000002239.","journal-title":"Am J Gastroenterol"},{"key":"2586_CR61","doi-asserted-by":"publisher","first-page":"7184","DOI":"10.1002\/cam4.4261","volume":"10","author":"L Xu","year":"2021","unstructured":"Xu L, He X, Zhou J, et al. Artificial intelligence-assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection. Cancer Med. 2021;10:7184\u201393. https:\/\/doi.org\/10.1002\/cam4.4261.","journal-title":"Cancer Med"},{"key":"2586_CR62","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/j.cgh.2022.07.006","volume":"21","author":"H Xu","year":"2023","unstructured":"Xu H, Tang RSY, Lam TYT, et al. Artificial Intelligence-Assisted Colonoscopy for Colorectal Cancer Screening: A Multicenter Randomized Controlled Trial. Clin Gastroenterol Hepatol. 2023;21:337\u2013e3463. https:\/\/doi.org\/10.1016\/j.cgh.2022.07.006.","journal-title":"Clin Gastroenterol Hepatol"},{"key":"2586_CR63","doi-asserted-by":"crossref","unstructured":"Xu X, Ba L, Lin L, et al. Evaluation efficacy and accuracy of a real-time computer-aided polyp detection system during colonoscopy: a prospective, multicentric, randomized, parallel-controlled study trial. Surg Endosc. 2025:1\u201311.","DOI":"10.1007\/s00464-025-12080-x"},{"key":"2586_CR64","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1111\/den.14573","volume":"36","author":"D Yamaguchi","year":"2024","unstructured":"Yamaguchi D, Shimoda R, Miyahara K, et al. Impact of an artificial intelligence-aided endoscopic diagnosis system on improving endoscopy quality for trainees in colonoscopy: Prospective, randomized, multicenter study. Dig Endosc. 2024;36:40\u20138. https:\/\/doi.org\/10.1111\/den.14573.","journal-title":"Dig Endosc"},{"key":"2586_CR65","first-page":"736","volume":"29","author":"L Yang","year":"2024","unstructured":"Yang L, Liu S, Shu L, et al. Effect of artificial intelligence assistance on the quality of colonoscopy: a randomized controlled study. Mod Dig Interv Diagn Treat. 2024;29:736\u20139. (In Chinese).","journal-title":"Mod Dig Interv Diagn Treat"},{"key":"2586_CR66","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1055\/a-1706-6174","volume":"54","author":"L Yao","year":"2022","unstructured":"Yao L, Zhang L, Liu J, et al. Effect of an artificial intelligence-based quality improvement system on efficacy of a computer-aided detection system in colonoscopy: a four-group parallel study. Endoscopy. 2022;54:757\u201368. https:\/\/doi.org\/10.1055\/a-1706-6174.","journal-title":"Endoscopy"},{"key":"2586_CR67","doi-asserted-by":"publisher","first-page":"1341259","DOI":"10.3389\/fmed.2023.1341259","volume":"10","author":"H Zhang","year":"2024","unstructured":"Zhang H, Wu Q, Sun J, et al. A computer-aided system improves the performance of endoscopists in detecting colorectal polyps: a multi-center, randomized controlled trial. Front Med (Lausanne). 2024;10:1341259. https:\/\/doi.org\/10.3389\/fmed.2023.1341259.","journal-title":"Front Med (Lausanne)"},{"key":"2586_CR68","doi-asserted-by":"publisher","first-page":"10375","DOI":"10.1007\/s00521-021-06496-4","volume":"34","author":"A Nogueira-Rodr\u00edguez","year":"2022","unstructured":"Nogueira-Rodr\u00edguez A, Dom\u00ednguez-Carbajales R, Campos-Tato F, et al. Real-time polyp detection model using convolutional neural networks. Neural Comput Appl. 2022;34:10375\u201396.","journal-title":"Neural Comput Appl"},{"key":"2586_CR69","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.3390\/diagnostics11061113","volume":"11","author":"YH Hsieh","year":"2021","unstructured":"Hsieh YH, Tang CP, Tseng CW, et al. Computer-Aided Detection False Positives in Colonoscopy. Diagnostics (Basel). 2021;11:1113. https:\/\/doi.org\/10.3390\/diagnostics11061113.","journal-title":"Diagnostics (Basel)"},{"key":"2586_CR70","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1055\/a-1302-2942","volume":"53","author":"EA Holzwanger","year":"2021","unstructured":"Holzwanger EA, Bilal M, Glissen Brown JR, et al. Benchmarking definitions of false-positive alerts during computer-aided polyp detection in colonoscopy. Endoscopy. 2021;53:937\u201340. https:\/\/doi.org\/10.1055\/a-1302-2942.","journal-title":"Endoscopy"},{"key":"2586_CR71","doi-asserted-by":"publisher","first-page":"747","DOI":"10.5009\/gnl16523","volume":"11","author":"MX Ma","year":"2017","unstructured":"Ma MX, Bourke MJ. Sessile Serrated Adenomas: How to Detect, Characterize and Resect. Gut Liver. 2017;11:747\u201360. https:\/\/doi.org\/10.5009\/gnl16523.","journal-title":"Gut Liver"},{"key":"2586_CR72","doi-asserted-by":"publisher","first-page":"7365","DOI":"10.3748\/wjg.v22.i32.7365","volume":"22","author":"A Leshno","year":"2016","unstructured":"Leshno A, Moshkowitz M, David M, et al. Prevalence of colorectal neoplasms in young, average risk individuals: A turning tide between East and West. World J Gastroenterol. 2016;22:7365\u201372. https:\/\/doi.org\/10.3748\/wjg.v22.i32.7365.","journal-title":"World J Gastroenterol"},{"key":"2586_CR73","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1177\/2050640619850365","volume":"7","author":"C Spada","year":"2019","unstructured":"Spada C, McNamara D, Despott EJ, et al. Performance measures for small-bowel endoscopy: A European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative. United Eur Gastroenterol J. 2019;7:614\u201341. https:\/\/doi.org\/10.1177\/2050640619850365.","journal-title":"United Eur Gastroenterol J"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-026-02586-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-026-02586-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-026-02586-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T01:09:49Z","timestamp":1792717789000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-026-02586-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,28]]},"references-count":73,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["2586"],"URL":"https:\/\/doi.org\/10.1186\/s12880-026-02586-8","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,28]]},"assertion":[{"value":"22 March 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"As this study synthesizes data from previously published trials and did not involve new human subjects, a Consent to Participate declaration is not applicable.","order":1,"name":"Ethics","label":"Human ethics and consent to participate declarations","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"For this type of study, formal consent was not needed.","order":2,"name":"Ethics","label":"Informed consent","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"538"}}