{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T14:29:28Z","timestamp":1788791368075,"version":"build-2803163510"},"reference-count":121,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T00:00:00Z","timestamp":1788652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Mol. Sci.","IJMS"],"abstract":"<jats:p>Colonoscopy is a key screening method for colorectal cancer (CRC), but its effectiveness is limited. Computer-aided detection (CADe) and computer-aided diagnostics (CADx), as part of an artificial intelligence (AI) system, improve the detection and optical characterization of lesions. This review maps and analyzes the evidence on the application of AI in colonoscopy, with a focus on the detection, segmentation, and characterization of colon neoplasms, available platforms, architectural models and implementation. The review was conducted in accordance with JBI and PRISMA-ScR guidelines, using the PCC framework. Meta-analyses, randomized controlled trials, systematic and narrative reviews, observational studies, guidelines, and consensus documents on the use of AI systems in different phases of colonoscopy were searched. CADe significantly improves adenoma detection and reduces the number of missed lesions. CADx, segmentation, depth of invasion assessment, and detection of learned lesions remain limited and heterogeneous. CADe has strong evidence for improving ADR, whereas current evidence for CADx remains insufficient to support a \u201cresect-and-discard\u201d strategy. Further cost-effectiveness studies are needed. Commercial platforms vary in their features and level of clinical validation. Colonoscopy using AI is a current topic with rapid development. This scoping review comprises heterogeneous literature covering clinical applications, technical aspects, the potential benefits and limitations of AI in improving colonoscopy performance and reducing the burden of colorectal cancer. Further trials involving diverse patient populations across different countries are needed to validate and extend the current evidence.<\/jats:p>","DOI":"10.3390\/ijms27177943","type":"journal-article","created":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T13:53:28Z","timestamp":1788789208000},"page":"7943","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Role of Computational Models in the Detection of Colorectal Carcinoma and Precancerous Lesions"],"prefix":"10.3390","volume":"27","author":[{"given":"Jelena","family":"Zivic","sequence":"first","affiliation":[{"name":"Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4513-3109","authenticated-orcid":false,"given":"Stefan","family":"Jakovljevic","sequence":"additional","affiliation":[{"name":"Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Department of General Surgery, University Clinical Center Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9119-0692","authenticated-orcid":false,"given":"Milos","family":"Zivic","sequence":"additional","affiliation":[{"name":"Department of Dentistry, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Department of Maxillofacial Surgery, Clinic of Otorhinolaryngology, University Clinical Centre Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6845-9458","authenticated-orcid":false,"given":"Andrija","family":"Rancic","sequence":"additional","affiliation":[{"name":"Clinic for Gastroenterohepatology, University Clinical Center Ni\u0161, 18000 Ni\u0161, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9700-0215","authenticated-orcid":false,"given":"Du\u0161an","family":"Radojevic","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8259-6060","authenticated-orcid":false,"given":"Mladen","family":"Maksic","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ilija","family":"Ilic","sequence":"additional","affiliation":[{"name":"Clinic for Gastroenterohepatology, University Clinical Center Ni\u0161, 18000 Ni\u0161, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2877-8677","authenticated-orcid":false,"given":"Nikola","family":"Milutinovic","sequence":"additional","affiliation":[{"name":"Department of Digestive Surgery, University Clinical Center Ni\u0161, 18000 Ni\u0161, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1573-1191","authenticated-orcid":false,"given":"Nikola","family":"Mirkovic","sequence":"additional","affiliation":[{"name":"Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Department of Vascular Surgery, University Clinical Center Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stevan","family":"Eric","sequence":"additional","affiliation":[{"name":"Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Department of Anesthesiology, Resuscitation and Intensive Care, University Clinical Center Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6115-612X","authenticated-orcid":false,"given":"Bojan","family":"Stojanovic","sequence":"additional","affiliation":[{"name":"Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Center for Molecular Medicine and Stem Cell Research, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6215-9258","authenticated-orcid":false,"given":"Radojica","family":"Stolic","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Nephrology and Dialysis Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1797-3864","authenticated-orcid":false,"given":"Giulio","family":"Antonelli","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy"},{"name":"Endoscopy Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natasa","family":"Zdravkovic","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia"},{"name":"Gastroenterology and Hepatology Clinic, University Clinical Centre of Kragujevac, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1002\/ijc.33588","article-title":"Cancer statistics for the year 2020: An overview","volume":"149","author":"Ferlay","year":"2021","journal-title":"Int. J. Cancer"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Bencardino, S., Lodola, I., Centanni, L., Mandarino, F.V., Fanizza, J., Furfaro, F., D\u2019aMico, F., Fuccio, L., Bruni, A., and Facciorusso, A. (2026). Artificial intelligence in advanced endoscopic imaging: Transforming optical diagnosis in gastroenterology. Front. Med., 12.","DOI":"10.3389\/fmed.2025.1719145"},{"key":"ref_3","first-page":"229","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":"ref_4","doi-asserted-by":"crossref","first-page":"26","DOI":"10.3892\/mco.2026.2935","article-title":"Research advances in early screening for colorectal cancer (Review)","volume":"24","author":"Jiang","year":"2026","journal-title":"Mol. Clin. Oncol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1159\/000538511","article-title":"Molecular Pathways of Colorectal Cancer Development: Mechanisms of Action and Evolution of Main Systemic Therapy Compunds","volume":"42","author":"Pierantoni","year":"2024","journal-title":"Dig. Dis."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1053\/j.gastro.2018.09.054","article-title":"Serologic Response to Helicobacter pylori Proteins Associated with Risk of Colorectal Cancer Among Diverse Populations in the United States","volume":"156","author":"Butt","year":"2019","journal-title":"Gastroenterology"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"190","DOI":"10.32628\/IJSRST24116171","article-title":"Colorectal Cancer Symptoms and Risk Factors\u2014A Review","volume":"11","author":"Kalpana","year":"2024","journal-title":"Int. J. Sci. Res. Sci. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3746","DOI":"10.7150\/jca.116682","article-title":"Symptoms and Outcomes in Colorectal Cancer Patients: A Saudi Tertiary Hospital\u2019s Five-Year Analysis","volume":"16","author":"Madkhali","year":"2025","journal-title":"J. Cancer"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1016\/j.surg.2023.01.018","article-title":"Characteristics and symptomatology of colorectal cancer in the young","volume":"173","author":"Skalitzky","year":"2023","journal-title":"Surgery"},{"key":"ref_10","first-page":"e70067","article-title":"Colorectal cancer statistics, 2026","volume":"76","author":"Siegel","year":"2026","journal-title":"CA Cancer J. Clin."},{"key":"ref_11","first-page":"1198","article-title":"Colorectal Cancer Is Increasing in Younger Adults","volume":"335","author":"Anderer","year":"2026","journal-title":"JAMA"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1038\/s41568-021-00432-3","article-title":"Colorectal cancer subtyping","volume":"22","author":"Ashktorab","year":"2022","journal-title":"Nat. Rev. Cancer"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.gendis.2019.10.013","article-title":"Molecular subtypes of colorectal cancer: An emerging therapeutic opportunity for personalized medicine","volume":"8","author":"Singh","year":"2021","journal-title":"Genes Dis."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Gharib, E., and Robichaud, G.A. (2024). From Crypts to Cancer: A Holistic Perspective on Colorectal Carcinogenesis and Therapeutic Strategies. Int. J. Mol. Sci., 25.","DOI":"10.3390\/ijms25179463"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1062","DOI":"10.1016\/j.tcb.2018.08.001","article-title":"The Intestinal Stem Cell Niche: Homeostasis and Adaptations","volume":"28","author":"Santos","year":"2018","journal-title":"Trends Cell Biol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.ceb.2007.02.007","article-title":"Wnt\/\u03b2-catenin signaling in cancer stemness and malignant behavior","volume":"19","author":"Fodde","year":"2007","journal-title":"Curr. Opin. Cell Biol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"102926","DOI":"10.1016\/j.ctrv.2025.102926","article-title":"EORTC consensus recommendations on the optimal management of colorectal cancer liver metastases","volume":"136","author":"Bregni","year":"2025","journal-title":"Cancer Treat. Rev."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1053\/j.gastro.2019.08.059","article-title":"Pathways of Colorectal Carcinogenesis","volume":"158","author":"Nguyen","year":"2020","journal-title":"Gastroenterology"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"De Palma, F., D\u2019Argenio, V., Pol, J., Kroemer, G., Maiuri, M., and Salvatore, F. (2019). The Molecular Hallmarks of the Serrated Pathway in Colorectal Cancer. Cancers, 11.","DOI":"10.3390\/cancers11071017"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"5271","DOI":"10.3748\/wjg.v19.i32.5271","article-title":"Sessile serrated adenomas in the proximal colon are likely to be flat, large and occur in smokers","volume":"19","author":"Rustagi","year":"2013","journal-title":"World J. Gastroenterol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1038\/s41575-022-00612-y","article-title":"Current and future colorectal cancer screening strategies","volume":"19","author":"Shaukat","year":"2022","journal-title":"Nat. Rev. Gastroenterol. Hepatol."},{"key":"ref_22","first-page":"250","article-title":"Colorectal cancer screening for average--risk adults: 2018 guideline update from the American Cancer Society","volume":"68","author":"Wolf","year":"2018","journal-title":"CA Cancer J. Clin."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Ding, H., Lin, J., Xu, Z., Chen, X., Wang, H.H.X., Huang, L., Huang, J., Zheng, Z., and Wong, M.C.S. (2022). A Global Evaluation of the Performance Indicators of Colorectal Cancer Screening with Fecal Immunochemical Tests and Colonoscopy: A Systematic Review and Meta-Analysis. Cancers, 14.","DOI":"10.3390\/cancers14041073"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1016","DOI":"10.1038\/ajg.2017.174","article-title":"Colorectal Cancer Screening: Recommendations for Physicians and Patients from the U.S. Multi-Society Task Force on Colorectal Cancer","volume":"112","author":"Rex","year":"2017","journal-title":"Am. J. Gastroenterol."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Choi, H.I., and Cha, J.M. (2025). Non-invasive colorectal cancer screening: Emerging tools and clinical evidence. Clin. Endosc.","DOI":"10.5946\/ce.2025.246"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"US Preventive Services Task Force, Davidson, K.W., Barry, M.J., Mangione, C.M., Cabana, M., Caughey, A.B., Davis, E.M., Donahue, K.E., Doubeni, C.A., and Krist, A.H. (2021). Screening for Colorectal Cancer: US Preventive Services Task Force Recommendation Statement. JAMA, 325, 1965\u20131977.","DOI":"10.1001\/jama.2021.6238"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Dahiya, D.S., Malik, S., Paladiya, R., Ahsan, S., Wasim, H., Bharadwaj, H.R., Goel, A., Jaan, A., Hayat, U., and Hasan, F. (2025). Advances in Non-Invasive Screening Methods for Gastrointestinal Cancers: How Continued Innovation Has Revolutionized Early Cancer Detection. Cancers, 17.","DOI":"10.3390\/cancers17071085"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1661","DOI":"10.1053\/j.gastro.2019.01.260","article-title":"Magnitude, Risk Factors, and Factors Associated with Adenoma Miss Rate of Tandem Colonoscopy: A Systematic Review and Meta-analysis","volume":"156","author":"Zhao","year":"2019","journal-title":"Gastroenterology"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1053\/j.gastro.2019.12.031","article-title":"Causes of Post-Colonoscopy Colorectal Cancers Based on World Endoscopy Organization System of Analysis","volume":"158","author":"Anderson","year":"2020","journal-title":"Gastroenterology"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"909","DOI":"10.1053\/j.gastro.2018.05.038","article-title":"World Endoscopy Organization Consensus Statements on Post-Colonoscopy and Post-Imaging Colorectal Cancer","volume":"155","author":"Rutter","year":"2018","journal-title":"Gastroenterology"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"e70426","DOI":"10.1111\/codi.70426","article-title":"Efficacy of an artificial intelligence system for lesion detection and characterization (CADE and CADX) during colonoscopy following positive faecal immunochemical test in a colorectal cancer screening programme: A randomized clinical trial","volume":"28","author":"Pinedo","year":"2026","journal-title":"Colorectal Dis."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Nabi, Z., Mohapatra, S., Uedo, N., Mohapatra, A., Inavolu, P., Rughwani, H., Ramchandani, M., and Reddy, D.N. (2025). Image-enhanced endoscopy in upper GI tract: State-of-the-art review. Indian J. Gastroenterol.","DOI":"10.1007\/s12664-025-01850-z"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3310\/hta21790","article-title":"Virtual chromoendoscopy for the real-time assessment of colorectal polyps in vivo: A systematic review and economic evaluation","volume":"21","author":"Picot","year":"2017","journal-title":"Health Technol. Assess."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"163","DOI":"10.5946\/ce.2024.159","article-title":"Image-enhanced endoscopy in upper gastrointestinal disease: Focusing on texture and color enhancement imaging and red dichromatic imaging","volume":"58","author":"Park","year":"2025","journal-title":"Clin. Endosc."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.gie.2021.10.009","article-title":"SCENIC update 2021: Is chromoendoscopy still standard of care for inflammatory bowel disease surveillance?","volume":"95","author":"Kiesslich","year":"2022","journal-title":"Gastrointest. Endosc."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"8560","DOI":"10.1038\/s41598-023-35564-z","article-title":"Red dichromatic imaging improves visibility of bleeding during gastric endoscopic submucosal dissection","volume":"13","author":"Oka","year":"2023","journal-title":"Sci. Rep."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Wang, D., Wang, A., Ding, X., and Zhou, R. (2025). Combined water exchange and cap-assisted colonoscopy reduces cecal intubation time and patient discomfort in patients with unsedated colonoscopy: A randomized controlled trial. BMC Gastroenterol., 26.","DOI":"10.1186\/s12876-025-04557-9"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1053\/j.gastro.2023.03.237","article-title":"Combination of Mucosa-Exposure Device and Computer-Aided Detection for Adenoma Detection During Colonoscopy: A Randomized Trial","volume":"165","author":"Spadaccini","year":"2023","journal-title":"Gastroenterology"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1097\/JS9.0000000000000285","article-title":"Effectiveness of artificial intelligence-assisted colonoscopy in early diagnosis of colorectal cancer: A systematic review","volume":"109","author":"Mehta","year":"2023","journal-title":"Int. J. Surg."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1605","DOI":"10.1038\/s41598-024-52244-8","article-title":"Boston bowel preparation scale score 6 has more missed lesions compared with 7\u20139","volume":"14","author":"Kim","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"e25927","DOI":"10.1097\/MD.0000000000025927","article-title":"Cecal intubation time in screening colonoscopy","volume":"100","author":"Kim","year":"2021","journal-title":"Medicine"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1298","DOI":"10.1056\/NEJMoa1309086","article-title":"Adenoma Detection Rate and Risk of Colorectal Cancer and Death","volume":"370","author":"Corley","year":"2014","journal-title":"N. Engl. J. Med."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.gie.2024.04.2905","article-title":"Quality indicators for colonoscopy","volume":"100","author":"Rex","year":"2024","journal-title":"Gastrointest. Endosc."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Scalvini, D., Agazzi, S., Maimaris, S., Rovedatti, L., Brinch, D., Cappellini, A., Ciccioli, C., Puricelli, M., Bartolotta, E., and Alfieri, D. (2025). Strategies to Enhance the Adenoma Detection Rate (ADR) and the Serrated Polyp Detection Rate (SPDR) in Colonoscopy: A Comprehensive Review. Gastroenterol. Insights, 16.","DOI":"10.3390\/gastroent16010009"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Jain, A., Javier, J., Nguyen-Ngo, K., and Tadros, M. (2026). Colonoscopy Quality Indicators in Transition: From Adenoma Detection Rate to Serrated Lesion Detection and Beyond. Diagnostics, 16.","DOI":"10.3390\/diagnostics16020258"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1038\/s41746-024-01106-8","article-title":"Artificial intelligence in digital pathology: A systematic review and meta-analysis of diagnostic test accuracy","volume":"7","author":"McGenity","year":"2024","journal-title":"npj Digit. Med."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"e77","DOI":"10.1038\/ctg.2015.5","article-title":"Colonoscopy: Quality Indicators","volume":"6","author":"Anderson","year":"2015","journal-title":"Clin. Transl. Gastroenterol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/S2468-1253(18)30282-6","article-title":"Artificial intelligence and computer-aided diagnosis in colonoscopy: Current evidence and future directions","volume":"4","author":"Ahmad","year":"2019","journal-title":"Lancet Gastroenterol. Hepatol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"22183","DOI":"10.1038\/s41598-026-39925-2","article-title":"Artificial intelligence with deep learning driven entropy-curvature attention mechanism for detection and segmentation of skin lesions using biomedical images","volume":"16","author":"Hasanin","year":"2026","journal-title":"Sci. Rep."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1007\/s11633-025-1597-6","article-title":"Frontiers in Intelligent Colonoscopy","volume":"23","author":"Ji","year":"2026","journal-title":"Mach. Intell. Res."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/s12938-015-0120-7","article-title":"Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy","volume":"15","author":"Firmino","year":"2016","journal-title":"Biomed. Eng. Online"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"102654","DOI":"10.1016\/j.bspc.2021.102654","article-title":"A deep convolutional neural network for the detection of polyps in colonoscopy images","volume":"68","author":"Rahim","year":"2021","journal-title":"Biomed. Signal Process. Control"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.igie.2025.09.010","article-title":"Evaluation of computer-aided detection for gastric cancer using white-light and linked-color imaging: A pilot study","volume":"4","author":"Yasuda","year":"2025","journal-title":"iGIE"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1055\/a-2328-2844","article-title":"A computer-aided detection system in the everyday setting of diagnostic, screening, and surveillance colonoscopy: An international, randomized trial","volume":"56","author":"Maas","year":"2024","journal-title":"Endoscopy"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"2219","DOI":"10.1007\/s00384-022-04258-9","article-title":"Real-time colorectal polyp detection using a novel computer-aided detection system (CADe): A feasibility study","volume":"37","author":"Soons","year":"2022","journal-title":"Int. J. Colorectal Dis."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1756284820979165","DOI":"10.1177\/1756284820979165","article-title":"The single-monitor trial: An embedded CADe system increased adenoma detection during colonoscopy: A prospective randomized study","volume":"13","author":"Liu","year":"2020","journal-title":"Ther. Adv. Gastroenterol."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Chen, S., Urban, G., and Baldi, P. (2022). Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural Networks. J. Imaging, 8.","DOI":"10.3390\/jimaging8050121"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"61","DOI":"10.23922\/jarc.2023-041","article-title":"Detailed Superiority of the CAD EYE Artificial Intelligence System over Endoscopists for Lesion Detection and Characterization Using Unique Movie Sets","volume":"8","author":"Kobayashi","year":"2024","journal-title":"J. Anus Rectum Colon"},{"key":"ref_59","unstructured":"Chen, H.T., Zhang, Y., Carneiro, G., and Singh, R. (2025). Toward a Human-Centered AI-assisted Colonoscopy System in Australia. arXiv."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"e157","DOI":"10.1016\/S2589-7500(23)00242-X","article-title":"A computer-aided polyp detection system in screening and surveillance colonoscopy: An international, multicentre, randomised, tandem trial","volume":"6","author":"Maas","year":"2024","journal-title":"Lancet Digit. Health"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"102020","DOI":"10.1016\/j.bpg.2025.102020","article-title":"Role of CADx in colonoscopy: Lessons from real-life studies","volume":"80","year":"2026","journal-title":"Best Pract. Res. Clin. Gastroenterol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1168","DOI":"10.1053\/j.gastro.2021.06.049","article-title":"Endoscopic Submucosal Dissection in Europe: Results of 1000 Neoplastic Lesions from the German Endoscopic Submucosal Dissection Registry","volume":"161","author":"Fleischmann","year":"2021","journal-title":"Gastroenterology"},{"key":"ref_63","doi-asserted-by":"crossref","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":"Engels","year":"2021","journal-title":"World J. Gastroenterol."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1055\/a-1201-7165","article-title":"Artificial intelligence for polyp detection during colonoscopy: A systematic review and meta-analysis","volume":"53","author":"Barua","year":"2021","journal-title":"Endoscopy"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1136\/gutjnl-2018-317573","article-title":"Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma","volume":"68","author":"Ebigbo","year":"2019","journal-title":"Gut"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Chen, E.L.Y., and Li, J.W. (2025). Computer-aided quality control in colonoscopy: Clinical applications and limitations. Clin. Endosc.","DOI":"10.5946\/ce.2025.309"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"14465","DOI":"10.1038\/s41598-019-50567-5","article-title":"Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy","volume":"9","author":"Yamada","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"64","DOI":"10.21037\/tgh.2019.12.14","article-title":"Artificial intelligence and computer-aided diagnosis for colonoscopy: Where do we stand now?","volume":"6","author":"Kudo","year":"2021","journal-title":"Transl. Gastroenterol. Hepatol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1159\/000544030","article-title":"Artificial Intelligence in Colonoscopy: Where Are We Now in 2024?","volume":"106","author":"Lai","year":"2025","journal-title":"Digestion"},{"key":"ref_70","first-page":"103107","article-title":"Artificial intelligence in endoscopy: Navigating risk, responsibility and ethical challenges","volume":"2025","author":"Olabintan","year":"2025","journal-title":"Frontline Gastroenterol."},{"key":"ref_71","first-page":"16","article-title":"Artificial Intelligence in Endoscopy: A Narrative Review","volume":"94","author":"Tham","year":"2025","journal-title":"Ulst. Med. J."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1159\/000525345","article-title":"Frame-by-Frame Analysis of a Commercially Available Artificial Intelligence Polyp Detection System in Full-Length Colonoscopies","volume":"103","author":"Brand","year":"2022","journal-title":"Digestion"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1053\/j.gastro.2022.03.055","article-title":"Strengths and Weaknesses of an Artificial Intelligence Polyp Detection Program as Assessed by a High-Detecting Endoscopist","volume":"163","author":"Rex","year":"2022","journal-title":"Gastroenterology"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1016\/S2468-1253(24)00161-4","article-title":"Polyp detection with colonoscopy assisted by the GI Genius artificial intelligence endoscopy module compared with standard colonoscopy in routine colonoscopy practice (COLO-DETECT): A multicentre, open-label, parallel-arm, pragmatic randomised controlled trial","volume":"9","author":"Seager","year":"2024","journal-title":"Lancet Gastroenterol. Hepatol."},{"key":"ref_75","first-page":"a25097278","article-title":"Cost-effectiveness analysis of artificial intelligence-aided colonoscopy for adenoma detection and characterization in Spain","volume":"13","author":"Barranco","year":"2025","journal-title":"Endosc. Int. Open"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1111\/den.14573","article-title":"Impact of an artificial intelligence--aided endoscopic diagnosis system on improving endoscopy quality for trainees in colonoscopy: Prospective, randomized, multicenter study","volume":"36","author":"Yamaguchi","year":"2024","journal-title":"Dig. Endosc."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1016\/j.cgh.2023.10.019","article-title":"Effect of Real-Time Computer-Aided Polyp Detection System (ENDO-AID) on Adenoma Detection in Endoscopists-in-Training: A Randomized Trial","volume":"22","author":"Lau","year":"2024","journal-title":"Clin. Gastroenterol. Hepatol."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.gie.2024.08.033","article-title":"Use of artificial intelligence improves colonoscopy performance in adenoma detection: A systematic review and meta-analysis","volume":"101","author":"Makar","year":"2025","journal-title":"Gastrointest. Endosc."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s10151-026-03323-7","article-title":"The role of artificial intelligence in adenoma detection during colonoscopy: A systematic review and meta-analysis of randomized controlled trials\u2014Artificial intelligence and adenoma detection","volume":"30","author":"Bananzadeh","year":"2026","journal-title":"Tech. Coloproctol."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1016\/j.gie.2024.01.021","article-title":"Impact of study design on adenoma detection in the evaluation of artificial intelligence\u2013aided colonoscopy: A systematic review and meta-analysis","volume":"99","author":"Lee","year":"2024","journal-title":"Gastrointest. Endosc."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"1252","DOI":"10.1053\/j.gastro.2020.06.023","article-title":"Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study","volume":"159","author":"Wang","year":"2020","journal-title":"Gastroenterology"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1016\/j.gie.2024.01.004","article-title":"Efficacy of artificial intelligence in reducing miss rates of GI adenomas, polyps, and sessile serrated lesions: A meta-analysis of randomized controlled trials","volume":"99","author":"Jin","year":"2024","journal-title":"Gastrointest. Endosc."},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Goyal, H., Mann, R., Gandhi, Z., Perisetti, A., Ali, A., Ali, K.A., Sharma, N., Saligram, S., Tharian, B., and Inamdar, S. (2020). Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer. J. Clin. Med., 9.","DOI":"10.3390\/jcm9103313"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"1499","DOI":"10.1016\/j.cgh.2021.09.009","article-title":"Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)","volume":"20","author":"Mansour","year":"2022","journal-title":"Clin. Gastroenterol. Hepatol."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/JBHI.2016.2637004","article-title":"Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos","volume":"21","author":"Yu","year":"2017","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"97","DOI":"10.5009\/gnl250369","article-title":"Clinical Efficacy of Real-Time Artificial Intelligence-Assisted Colonoscopy in Colorectal Polyp Detection: A Prospective Multicenter Randomized Controlled Trial","volume":"20","author":"Jeon","year":"2026","journal-title":"Gut Liver"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"e082656","DOI":"10.1136\/bmj-2024-082656","article-title":"Computer aided detection and diagnosis of polyps in adult patients undergoing colonoscopy: A living clinical practice guideline","volume":"388","author":"Foroutan","year":"2025","journal-title":"BMJ"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s10462-023-10621-1","article-title":"A systematic review of deep learning based image segmentation to detect polyp","volume":"57","author":"Gupta","year":"2024","journal-title":"Artif. Intell. Rev."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1053\/j.gastro.2022.10.021","article-title":"Comparative Performance of Artificial Intelligence Optical Diagnosis Systems for Leaving in situ Colorectal Polyps","volume":"164","author":"Hassan","year":"2023","journal-title":"Gastroenterology"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"1488","DOI":"10.1109\/TMI.2014.2314959","article-title":"Automated Polyp Detection in Colon Capsule Endoscopy","volume":"33","author":"Mamonov","year":"2014","journal-title":"IEEE Trans. Med. Imaging"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"95889","DOI":"10.1109\/ACCESS.2023.3310541","article-title":"DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination","volume":"11","author":"Hossain","year":"2023","journal-title":"IEEE Access"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"2961","DOI":"10.1038\/s41467-020-16777-6","article-title":"Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer","volume":"11","author":"Zhou","year":"2020","journal-title":"Nat. Commun."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"102341","DOI":"10.1016\/j.eclinm.2023.102341","article-title":"Artificial intelligence for colorectal neoplasia detection during colonoscopy: A systematic review and meta-analysis of randomized clinical trials","volume":"66","author":"Lou","year":"2023","journal-title":"eClinicalMedicine"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"7184","DOI":"10.1002\/cam4.4261","article-title":"Artificial intelligence\u2014Assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection","volume":"10","author":"Xu","year":"2021","journal-title":"Cancer Med."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.cgh.2022.07.006","article-title":"Artificial Intelligence\u2013Assisted Colonoscopy for Colorectal Cancer Screening: A Multicenter Randomized Controlled Trial","volume":"21","author":"Xu","year":"2023","journal-title":"Clin. Gastroenterol. Hepatol."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/S2468-1253(19)30411-X","article-title":"Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): A double-blind randomised study","volume":"5","author":"Wang","year":"2020","journal-title":"Lancet Gastroenterol. Hepatol."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.7326\/M22-2619","article-title":"Role of Artificial Intelligence in Colonoscopy Detection of Advanced Neoplasias: A Randomized Trial","volume":"176","author":"Cubiella","year":"2023","journal-title":"Ann. Intern. Med."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"25453","DOI":"10.1038\/s41598-024-77079-1","article-title":"A prospective multicenter randomized controlled trial on artificial intelligence assisted colonoscopy for enhanced polyp detection","volume":"14","author":"Park","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1038\/s41746-024-01334-y","article-title":"A prospective comparison of two computer aided detection systems with different false positive rates in colonoscopy","volume":"7","author":"Chung","year":"2024","journal-title":"npj Digit. Med."},{"key":"ref_100","doi-asserted-by":"crossref","unstructured":"Krenzer, A., Banck, M., Makowski, K., Hekalo, A., Fitting, D., Troya, J., Sudarevic, B., Zoller, W.G., Hann, A., and Puppe, F. (2023). A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks. J. Imaging, 9.","DOI":"10.3390\/jimaging9020026"},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1053\/j.gastro.2020.04.062","article-title":"Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial","volume":"159","author":"Repici","year":"2020","journal-title":"Gastroenterology"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1136\/gutjnl-2017-314547","article-title":"Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model","volume":"68","author":"Byrne","year":"2019","journal-title":"Gut"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"e29682","DOI":"10.2196\/29682","article-title":"Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test Accuracy","volume":"8","author":"Bang","year":"2021","journal-title":"J. Med. Internet Res."},{"key":"ref_104","doi-asserted-by":"crossref","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":"ref_105","first-page":"756","article-title":"Computer-aided diagnosis for optical diagnosis of diminutive colorectal polyps including sessile serrated lesions: A real-time comparison with screening endoscopists","volume":"8","author":"Houwen","year":"2023","journal-title":"Endoscopy"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1053\/j.gastro.2024.01.044","article-title":"Autonomous Artificial Intelligence vs Artificial Intelligence\u2013Assisted Human Optical Diagnosis of Colorectal Polyps: A Randomized Controlled Trial","volume":"167","author":"Djinbachian","year":"2024","journal-title":"Gastroenterology"},{"key":"ref_107","doi-asserted-by":"crossref","unstructured":"Vadhwana, B., Tarazi, M., and Patel, V. (2023). The Role of Artificial Intelligence in Prospective Real-Time Histological Prediction of Colorectal Lesions during Colonoscopy: A Systematic Review and Meta-Analysis. Diagnostics, 13.","DOI":"10.3390\/diagnostics13203267"},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"e27370","DOI":"10.2196\/27370","article-title":"Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis","volume":"23","author":"Nazarian","year":"2021","journal-title":"J. Med. Internet Res."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1002\/ueg2.12108","article-title":"Current status and limitations of artificial intelligence in colonoscopy","volume":"9","author":"Hann","year":"2021","journal-title":"United Eur. Gastroenterol. J."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1038\/s41746-020-0281-z","article-title":"AI-doscopist: A real-time deep-learning-based algorithm for localising polyps in colonoscopy videos with edge computing devices","volume":"23","author":"Poon","year":"2020","journal-title":"npj Digit. Med."},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"ELKarazle, K., Raman, V., Then, P., and Chua, C. (2023). Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques. Sensors, 3.","DOI":"10.3390\/s23031225"},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1055\/a-2543-0370","article-title":"Use of computer-assisted detection (CADe) colonoscopy in colorectal cancer screening and surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement","volume":"57","author":"Bretthauer","year":"2025","journal-title":"Endoscopy"},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1136\/gutjnl-2019-320466","article-title":"Machine learning in GI endoscopy: Practical guidance in how to interpret a novel field","volume":"69","author":"Struyvenberg","year":"2020","journal-title":"Gut"},{"key":"ref_114","doi-asserted-by":"crossref","unstructured":"Spadaccini, M., Menini, M., Massimi, D., Rizkala, T., De Sire, R., Alfarone, L., Capogreco, A., Colombo, M., Maselli, R., and Fugazza, A. (2025). AI and Polyp Detection During Colonoscopy. Cancers, 17.","DOI":"10.3390\/cancers17050797"},{"key":"ref_115","doi-asserted-by":"crossref","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":"Kitala","year":"2025","journal-title":"Lancet Gastroenterol. Hepatol."},{"key":"ref_116","doi-asserted-by":"crossref","unstructured":"Chao, W.L., Manickavasagan, H., and Krishna, S.G. (2019). Application of Artificial Intelligence in the Detection and Differentiation of Colon Polyps: A Technical Review for Physicians. Diagnostics, 9.","DOI":"10.3390\/diagnostics9030099"},{"key":"ref_117","doi-asserted-by":"crossref","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":"ref_118","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1016\/S2468-1253(21)00215-6","article-title":"Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: A systematic review and network meta-analysis","volume":"6","author":"Spadaccini","year":"2021","journal-title":"Lancet Gastroenterol. Hepatol."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1016\/S2468-1253(24)00222-X","article-title":"Computer-aided diagnosis for the resect-and-discard strategy for colorectal polyps: A systematic review and meta-analysis","volume":"9","author":"Hassan","year":"2024","journal-title":"Lancet Gastroenterol. Hepatol."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1016\/j.cgh.2023.11.029","article-title":"Lack of Effectiveness of Computer Aided Detection for Colorectal Neoplasia: A Systematic Review and Meta-Analysis of Nonrandomized Studies","volume":"22","author":"Patel","year":"2024","journal-title":"Clin. Gastroenterol. Hepatol."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1053\/j.gastro.2025.01.002","article-title":"AGA Living Clinical Practice Guideline on Computer-Aided Detection\u2013Assisted Colonoscopy","volume":"168","author":"Sultan","year":"2025","journal-title":"Gastroenterology"}],"container-title":["International Journal of Molecular Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1422-0067\/27\/17\/7943\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T13:56:53Z","timestamp":1788789413000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1422-0067\/27\/17\/7943"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,6]]},"references-count":121,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["ijms27177943"],"URL":"https:\/\/doi.org\/10.3390\/ijms27177943","relation":{},"ISSN":["1422-0067"],"issn-type":[{"value":"1422-0067","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,6]]}}}