Real-Time Computer-Aided Detection of Colorectal Neoplasia During Colonoscopy: A Systematic Review and Meta-analysis
Abstract
BACKGROUND: Artificial intelligence computer-aided detection (CADe) of colorectal neoplasia during colonoscopy may increase adenoma detection rates (ADRs) and reduce adenoma miss rates, but it may increase overdiagnosis and overtreatment of nonneoplastic polyps. PURPOSE: To quantify the benefits and harms of CADe in randomized trials. DESIGN: Systematic review and meta-analysis. (PROSPERO: CRD42022293181). DATA SOURCES: Medline, Embase, and Scopus databases through February 2023. STUDY SELECTION: Randomized trials comparing CADe-assisted with standard colonoscopy for polyp and cancer detection. DATA EXTRACTION: Adenoma detection rate (proportion of patients with ≥1 adenoma), number of adenomas detected per colonoscopy, advanced adenoma (≥10 mm with high-grade dysplasia and villous histology), number of serrated lesions per colonoscopy, and adenoma miss rate were extracted as benefit outcomes. Number of polypectomies for nonneoplastic lesions and withdrawal time were extracted as harm outcomes. For each outcome, studies were pooled using a random-effects model. Certainty of evidence was assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) framework. DATA SYNTHESIS: Twenty-one randomized trials on 18 232 patients were included. The ADR was higher in the CADe group than in the standard colonoscopy group (44.0% vs. 35.9%; relative risk, 1.24 [95% CI, 1.16 to 1.33]; low-certainty evidence), corresponding to a 55% (risk ratio, 0.45 [CI, 0.35 to 0.58]) relative reduction in miss rate (moderate-certainty evidence). More nonneoplastic polyps were removed in the CADe than the standard group (0.52 vs. 0.34 per colonoscopy; mean difference [MD], 0.18 polypectomy [CI, 0.11 to 0.26 polypectomy]; low-certainty evidence). Mean inspection time increased only marginally with CADe (MD, 0.47 minute [CI, 0.23 to 0.72 minute]; moderate-certainty evidence). LIMITATIONS: This review focused on surrogates of patient-important outcomes. Most patients, however, may consider cancer incidence and cancer-related mortality important outcomes. The effect of CADe on such patient-important outcomes remains unclear. CONCLUSION: The use of CADe for polyp detection during colonoscopy results in increased detection of adenomas but not advanced adenomas and in higher rates of unnecessary removal of nonneoplastic polyps. PRIMARY FUNDING SOURCE: European Commission Horizon 2020 Marie Skłodowska-Curie Individual Fellowship.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Meta-analyses report a ~14% relative improvement in the adenoma detection rate over standard colonoscopy with AI assistance.
“Meta-analyses report a ~14% relative improvement in the ADR over standard colonoscopy [39,40].”
From Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery (2025) · cites this paper as [40]
Cites
Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21660 · Cited by 108,699 · see citing works
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554 · see citing works
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008) · BMJ · doi:10.1136/bmj.39489.470347.ad · Cited by 23,305 · see citing works
Genetic Alterations during Colorectal-Tumor Development
Vogelstein, B., Fearon, E. R., Hamilton, S. R., Kern, S. E., Preisinger, A. C., Leppert, M., de Vries-Smits, A. M. M., & Bos, J. L. (1988) · New England Journal of Medicine · doi:10.1056/nejm198809013190901 · Cited by 6,704 · see citing works
IntHout, J., Ioannidis, J. P., & Borm, G. F. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-25 · Cited by 2,419 · see citing works
Plea for routinely presenting prediction intervals in meta-analysis.
IntHout, J., Ioannidis, J. P. A., Rovers, M. M., & Goeman, J. J. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-010247 · Cited by 2,264 · see citing works
Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model
Viechtbauer, W. (2005) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986030003261 · Cited by 1,699 · cited 1× · see citing works
“The restricted maximum likelihood estimator was used to calculate the heterogeneity variance (13).”
MethodWang, P., Berzin, T. M., Glissen Brown, J. R., Bharadwaj, S., Becq, A., Xiao, X., Liu, P., Li, L., Song, Y., Zhang, D., et al. (2019) · Gut · doi:10.1136/gutjnl-2018-317500 · Cited by 865 · see citing works
Effect of Colonoscopy Screening on Risks of Colorectal Cancer and Related Death
Bretthauer, M., Løberg, M., Wieszczy, P., Kalager, M., Emilsson, L., Garborg, K., Rupinski, M., Dekker, E., Spaander, M., Bugajski, M., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmoa2208375 · Cited by 817 · see citing works
Zhao, S., Wang, S., Pan, P., Xia, T., Chang, X., Yang, X., Guo, L., Meng, Q., Yang, F., Qian, W., et al. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.01.260 · Cited by 660 · see citing works
Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial
Repici, A., Badalamenti, M., Maselli, R., Correale, L., Radaelli, F., Rondonotti, E., Ferrara, E., Spadaccini, M., Alkandari, A., Fugazza, A., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.04.062 · Cited by 646 · see citing works
Byrne, M. F., Chapados, N., Soudan, F., Oertel, C., Linares Pérez, M., Kelly, R., Iqbal, N., Chandelier, F., & Rex, D. K. (2019) · Gut · doi:10.1136/gutjnl-2017-314547 · Cited by 635 · see citing works
Hassan, C., Spadaccini, M., Iannone, A., Maselli, R., Jovani, M., Chandrasekar, V. T., Antonelli, G., Yu, H., Areia, M., Dinis-Ribeiro, M., et al. (2021) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2020.06.059 · Cited by 529 · see citing works
Wang, P., Liu, X., Berzin, T. M., Glissen Brown, J. R., Liu, P., Zhou, C., Lei, L., Li, L., Guo, Z., Lei, S., et al. (2020) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(19)30411-x · Cited by 415 · see citing works
Gong, D., Wu, L., Zhang, J., Mu, G., Shen, L., Liu, J., Wang, Z., Zhou, W., An, P., Huang, X., et al. (2020) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(19)30413-3 · Cited by 393 · see citing works
Su, J.-R., Li, Z., Shao, X.-J., Ji, C.-R., Ji, R., Zhou, R.-C., Li, G.-C., Liu, G.-Q., He, Y.-S., Zuo, X.-L., et al. (2020) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2019.08.026 · Cited by 286 · see citing works
Impact of artificial intelligence on miss rate of colorectal neoplasia
Wallace, M. B., Sharma, P., Bhandari, P., East, J., Antonelli, G., Lorenzetti, R., Vieth, M., Speranza, I., Spadaccini, M., Desai, M., et al. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.03.007 · Cited by 273 · see citing works
Coverlizza, S., Risio, M., Ferrari, A., Fenoglio‐Preiser, C. M., & Rossini, F. P. (1989) · Cancer · doi:10.1002/1097-0142(19891101)64:9 · Cited by 264 · see citing works
Artificial intelligence and colonoscopy experience: lessons from two randomised trials
Repici, A., Spadaccini, M., Antonelli, G., Correale, L., Maselli, R., Galtieri, P. A., Pellegatta, G., Capogreco, A., Milluzzo, S. M., Lollo, G., et al. (2021) · Gut · doi:10.1136/gutjnl-2021-324471 · Cited by 249 · see citing works
Glissen Brown, J. R., Mansour, N. M., Wang, P., Chuchuca, M. A., Minchenberg, S. B., Chandnani, M., Liu, L., Gross, S. A., Sengupta, N., & Berzin, T. M. (2022) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.09.009 · Cited by 235 · see citing works
Wang, P., Liu, P., Glissen Brown, J. R., Berzin, T. M., Zhou, G., Lei, S., Liu, X., Li, L., & Xiao, X. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.06.023 · Cited by 231 · see citing works
Atkin, W. S., Valori, R., Kuipers, E. J., Hoff, G. S., Senore, C., Segnan, N., Jover, R., Schmiegel, W., Lambert, R. G. W., & Pox, C. P. (2012) · Endoscopy · doi:10.1055/s-0032-1309821 · Cited by 220 · see citing works
Xu, H., Tang, R. S. Y., Lam, T. Y. T., Zhao, G., Lau, J. Y. W., Liu, Y., Wu, Q., Rong, L., Xu, W., Li, X., et al. (2023) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2022.07.006 · Cited by 209 · see citing works
Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy
Huang, J., Liu, W.-N., Zhang, Y.-Y., Bian, X.-Q., Wang, L.-J., Yang, Q., & Zhang, X.-D. (2020) · Saudi Journal of Gastroenterology · doi:10.4103/sjg.sjg_377_19 · Cited by 179 · see citing works
Association of Physician Adenoma Detection Rates With Postcolonoscopy Colorectal Cancer
Schottinger, J. E., Jensen, C. D., Ghai, N. R., Chubak, J., Lee, J. K., Kamineni, A., Halm, E. A., Skinner, C. S., Udaltsova, N. V., Zhao, W. K., et al. (2022) · JAMA · doi:10.1001/jama.2022.6644 · Cited by 154 · see citing works
Shaukat, A., Lichtenstein, D. R., Somers, S. C., Chung, D. C., Perdue, D. G., Gopal, M., Colucci, D. R., Phillips, S. A., Marka, N. A., Church, T. R., et al. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.05.028 · Cited by 149 · see citing works
Spadaccini, M., Iannone, A., Maselli, R., Badalamenti, M., Desai, M., Chandrasekar, V. T., Patel, H. K., Fugazza, A., Pellegatta, G., Galtieri, P. A., et al. (2021) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(21)00215-6 · Cited by 131 · see citing works
Kamba, S., Tamai, N., Saitoh, I., Matsui, H., Horiuchi, H., Kobayashi, M., Sakamoto, T., Ego, M., Fukuda, A., Tonouchi, A., et al. (2021) · Journal of Gastroenterology · doi:10.1007/s00535-021-01808-w · Cited by 124 · see citing works
Yao, L., Zhang, L., Liu, J., Zhou, W., He, C., Zhang, J., Wu, L., Wang, H., Xu, Y., Gong, D., et al. (2022) · Endoscopy · doi:10.1055/a-1706-6174 · Cited by 116 · see citing works
Liu, P., Wang, P., Brown, J. R. G., Berzin, T. M., Zhou, G., Liu, W., Xiao, X., Chen, Z., Zhang, Z., Chao Hui, Z. H. O. U., et al. (2020) · Therapeutic Advances in Gastroenterology · doi:10.1177/1756284820979165 · Cited by 94 · see citing works
Role of Artificial Intelligence in Colonoscopy Detection of Advanced Neoplasias
Mangas‐Sanjuán, C., de–Castro, L., Cubiella, J., Díez‐Redondo, P., Suárez, A., Pellisé, M., Fernández, N., Zarraquiños, S., Núñez, H., Álvarez‐García, V., et al. (2023) · Annals of Internal Medicine · doi:10.7326/m22-2619 · Cited by 90 · see citing works
Wei, M. T., Shankar, U., Parvin, R., Abbas, S. H., Chaudhary, S., Friedlander, Y., & Friedland, S. (2023) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002239 · Cited by 81 · see citing works
Gimeno-García, A. Z., Hernández Negrin, D., Hernández, A., Nicolás-Pérez, D., Rodríguez, E., Montesdeoca, C., Alarcon, O., Romero, R., Baute Dorta, J. L., Cedrés, Y., et al. (2023) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2022.09.029 · Cited by 78 · see citing works
Rondonotti, E., Paolo, D. D., Rizzotto, E. R., Alvisi, C., Buscarini, E., Spadaccini, M., Tamanini, G., Paggi, S., Amato, A., Scardino, G., et al. (2022) · Endoscopy · doi:10.1055/a-1849-6878 · Cited by 67 · see citing works
Aniwan, S., Mekritthikrai, K., Kerr, S. J., Tiankanon, K., Vandaungden, K., Sritunyarat, Y., Piyachaturawat, P., Luangsukrerk, T., Kulpatcharapong, S., Wisedopas, N., et al. (2022) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2022.09.023 · Cited by 66 · see citing works
Nakashima, H., Kitazawa, N., Fukuyama, C., Kawachi, H., Kawahira, H., Momma, K., & Sakaki, N. (2023) · Digestion · doi:10.1159/000528085 · Cited by 49 · see citing works
Hassan, C., Piovani, D., Spadaccini, M., Parigi, T. L., Khalaf, K., Facciorusso, A., Fugazza, A., Rösch, T., Bretthauer, M., Mori, Y., et al. (2022) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2022.10.009 · Cited by 40 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Han, R., Acosta, J. N., Shakeri, Z., Ioannidis, J. P. A., Topol, E. J., & Rajpurkar, P. (2024) · The Lancet Digital Health · doi:10.1016/s2589-7500(24)00047-5 · Cited by 336 · see citing works
Budzyń, K., Romańczyk, M., Kitala, D., Kołodziej, P., Bugajski, M., Adami, H. O., Blom, J., Buszkiewicz, M., Halvorsen, N., Hassan, C., et al. (2025) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(25)00133-5 · Cited by 313 · see citing works
Self-citationArtificial Intelligence–Assisted Colonoscopy for Polyp Detection
Soleymanjahi, S., Huebner, J., Elmansy, L., Rajashekar, N., Lüdtke, N., Paracha, R., Thompson, R., Grimshaw, A. A., Foroutan, F., Sultan, S., et al. (2024) · Annals of Internal Medicine · doi:10.7326/annals-24-00981 · Cited by 111 · see citing works
Patel, H. K., Mori, Y., Hassan, C., Rizkala, T., Radadiya, D. K., Nathani, P., Srinivasan, S., Misawa, M., Maselli, R., Antonelli, G., et al. (2023) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2023.11.029 · Cited by 88 · see citing works
Lou, S., Du, F., Song, W., Xia, Y., Yue, X., Yang, D., Cui, B., Liu, Y., & Han, P. (2023) · EClinicalMedicine · doi:10.1016/j.eclinm.2023.102341 · Cited by 80 · see citing works
“83 In other words, AI-aided colonoscopy is more effective in identifying people at a high risk of CRC. 31 However, owing to the limited sample size of each study, they often focused on small, non-advanced lesions, especially diminutive adenomas.”
BackgroundMethodResultInfluentialSeager, A., Sharp, L., Neilson, L. J., Brand, A., Hampton, J. S., Lee, T., Evans, R., Vale, L. D., Whelpton, J., Bestwick, N., et al. (2024) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(24)00161-4 · Cited by 70 · see citing works
AGA Living Clinical Practice Guideline on Computer-Aided Detection–Assisted Colonoscopy
Sultan, S., Shung, D. L., Kolb, J. M., Foroutan, F., Hassan, C., Kahi, C. J., Liang, P. S., Levin, T. R., Siddique, S. M., & Lebwohl, B. (2025) · Gastroenterology · doi:10.1053/j.gastro.2025.01.002 · Cited by 67 · see citing works
Lau, L. H. S., Ho, J. C. L., Lai, J. C., Ho, A. H. Y., Wu, C. W. K., Lo, V. W. H., Lai, C. T., Scheppach, M. W., Sia, F., Ho, K. H. K., et al. (2023) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2023.10.019 · Cited by 57 · see citing works
Artificial intelligence in cancer: applications, challenges, and future perspectives
Cheng, H., & Shi, S.-S. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02450-3 · Cited by 57 · see citing works
Foroutan, F., Vandvik, P. O., Helsingen, L. M., Kalager, M., Rutter, M. D., Selby, K. J., Pilonis, N., Anderson, J. C., McKinnon, A., Fuchs, J. M., et al. (2025) · BMJ · doi:10.1136/bmj-2024-082656 · Cited by 46 · see citing works
Lui, T. K.-L., Lam, C. P.-M., To, E. W.-P., Ko, M. K.-L., Tsui, V. W. M., Liu, K. S.-H., Hui, C. K.-Y., Cheung, K. S., Mak, L., Hui, R. W., et al. (2024) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002684 · Cited by 45 · see citing works
Artificial intelligence in gastrointestinal endoscopy: a comprehensive review
Ali, H. (2024) · Annals of Gastroenterology · doi:10.20524/aog.2024.0861 · Cited by 44 · see citing works
Iacucci, M., Santacroce, G., Maeda, Y., & Ghosh, S. K. (2025) · Gastroenterology · doi:10.1053/j.gastro.2025.03.005 · Cited by 49 · see citing works
Screening and Surveillance of Colorectal Cancer: A Review of the Literature
Maida, M., Dahiya, D. S., Shah, Y. R., Tiwari, A., Gopakumar, H., Vohra, I., Khan, A., Jaber, F., Ramai, D., & Facciorusso, A. (2024) · Cancers · doi:10.3390/cancers16152746 · Cited by 43 · see citing works
“However, the mean number of polypectomies for nonneoplastic lesions per colonoscopy was significantly higher in the CADe group as compared to the control group, with a mean difference of 0183 polypectomy ([CI, 0.107 to 0.258 polypectomy]; p < 0.001) [90].”
BackgroundResultInfluentialDevelopment of an oral cancer detection system through deep learning
Li, L., Cheng, P., Tao, J., Zhu, L., Hu, S., Qiao, B., Xing, L., Wei, B., Shi, C., Chen, P., et al. (2024) · BMC Oral Health · doi:10.1186/s12903-024-05195-5 · Cited by 42 · see citing works
Lee, M. C. M., Parker, C. H., Liu, L. W., Farahvash, A., & Jeyalingam, T. (2024) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2024.01.021 · Cited by 37 · see citing works
Ortíz, O., Daca-Álvarez, M., Rivero, L., Gimeno‐García, A. Z., Palau, M. C., Álvarez, V., Ledo-Rodríguez, A., Ricciardiello, L., Pierantoni, C., Hüneburg, R., et al. (2024) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(24)00187-0 · Cited by 36 · see citing works
El-Sayed, A., Lovat, L. B., & Ahmad, O. F. (2025) · Gastroenterology · doi:10.1053/j.gastro.2025.01.254 · Cited by 33 · see citing works
Emerging ctDNA detection strategies in clinical cancer theranostics
Yi, K., Wang, X., Filippov, S. K., & Zhang, H. (2023) · Smart Medicine · doi:10.1002/smmd.20230031 · Cited by 31 · see citing works
Khan, R., Ruan, Y., Yuan, Y., Khalaf, K., Sabrie, N., Gimpaya, N., Scaffidi, M. A., Bansal, R., Vaska, M. M., Brenner, D. R., et al. (2024) · Gastroenterology · doi:10.1053/j.gastro.2024.03.018 · Cited by 31 · see citing works
Maida, M. F., Marasco, G., Maas, M. H. J., Ramai, D., Spadaccini, M., Sinagra, E., Facciorusso, A., Siersema, P. D., & Hassan, C. (2024) · Digestive and Liver Disease · doi:10.1016/j.dld.2024.09.003 · Cited by 29 · see citing works
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy
Antonelli, G., Libânio, D., de Groof, A. J., van der Sommen, F., Mascagni, P., Sinonquel, P., Abdelrahim, M., Ahmad, O. F., Berzin, T. M., Bhandari, P., et al. (2024) · Gut · doi:10.1136/gutjnl-2024-332820 · Cited by 28 · see citing works
Human-artificial intelligence interaction in gastrointestinal endoscopy
Campion, J. R., O’Connor, D. B., & Lahiff, C. J. (2024) · World Journal of Gastrointestinal Endoscopy · doi:10.4253/wjge.v16.i3.126 · Cited by 27 · see citing works
Halvorsen, N., Hassan, C., Correale, L., Pilonis, N., Helsingen, L. M., Spadaccini, M., Repici, A., Foroutan, F., Vandvik, P. O., Sultan, S., et al. (2025) · BMJ Medicine · doi:10.1136/bmjmed-2025-001446 · Cited by 25 · see citing works
AI and Polyp Detection During Colonoscopy
Spadaccini, M., Menini, M., Massimi, D., Rizkala, T., de Sire, R., Alfarone, L., Capogreco, A., Colombo, M., Maselli, R., Fugazza, A., et al. (2025) · Cancers · doi:10.3390/cancers17050797 · Cited by 24 · see citing works
“Colorectal neoplasia detection through computer-aided detection systems has been thoroughly investigated through various randomized controlled trails (RCTs) [14–20]. colonoscopy and stay informed about its potential impact on clinical practice.”
InfluentialMaas, M. H. J., Räth, T., Spada, C., Soons, E., Forbes, N., Kashin, S. V., Cesaro, P., Eickhoff, A., Vanbiervliet, G., Salvi, D., et al. (2024) · Endoscopy · doi:10.1055/a-2328-2844 · Cited by 23 · see citing works
Enslin, S., & Kaul, V. (2024) · Gastrointestinal Endoscopy Clinics of North America · doi:10.1016/j.giec.2024.09.003 · Cited by 21 · see citing works
Artificial Intelligence-assisted colonoscopy and colorectal cancer screening: Where are we going?
Spadaccini, M., Troya, J., Khalaf, K., Facciorusso, A., Maselli, R., Hann, A., & Repici, A. (2024) · Digestive and Liver Disease · doi:10.1016/j.dld.2024.01.203 · Cited by 20 · see citing works
Self-citationColonoscopic surveillance in Lynch syndrome: guidelines in perspective
Castillo‐Iturra, J., Sánchez, A., & Balaguer, F. (2024) · Familial Cancer · doi:10.1007/s10689-024-00414-y · Cited by 20 · see citing works
Arboit, L., Schneider, D. N., Collins, T., Hashimoto, D. A., Perretta, S., Dallemagne, B., Marescaux, J., Mintz, Y., Nakajima, K., Diana, M., et al. (2025) · European Journal of Surgical Oncology · doi:10.1016/j.ejso.2025.110525 · Cited by 22 · see citing works
“Similarly, AI-assisted screening colonoscopy has become the standard of care, with several randomized controlled trials showing a significant increase in adenoma detection rates thanks to computer-aided detection (CAD) [40, 16].”
Endoscopic Artificial Intelligence for Image Analysis in Gastrointestinal Neoplasms
Kikuchi, R., Okamoto, K., Ozawa, T., Shibata, J., Ishihara, S., & Tada, T. (2024) · Digestion · doi:10.1159/000540251 · Cited by 20 · see citing works
Alali, A. A., Alhashmi, A., Alotaibi, N., Ali, N., Alali, M., & Alfadhli, A. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14020581 · Cited by 19 · see citing works
“Several meta-analyses that incorporated some of these studies concluded that AI probably has a beneficial effect on colonoscopy quality metrics by increasing the ADR by approximately 20% [10–12].”
Hassan, C., Bisschops, R., Sharma, P., & Mori, Y. (2025) · Gastroenterology · doi:10.1053/j.gastro.2025.02.021 · Cited by 19 · see citing works
Park, J.-B., & Bae, J. H. (2024) · Clinical Endoscopy · doi:10.5946/ce.2024.168 · Cited by 17 · see citing works
Current Status of Artificial Intelligence Use in Colonoscopy
Misawa, M., & Kudo, S.-E. (2024) · Digestion · doi:10.1159/000543345 · Cited by 17 · see citing works
Maeda, Y., Kudo, S.-E., Santacroce, G., Ogata, N., Misawa, M., & Iacucci, M. (2024) · Digestive and Liver Disease · doi:10.1016/j.dld.2024.04.005 · Cited by 16 · see citing works
Mori, Y., Ishihara, R., Ogata, H., Kutsumi, H., Saito, Y., Sumiyama, K., Sekiguchi, M., Tajiri, H., Fujishiro, M., Matsuda, K., et al. (2025) · Digestive Endoscopy · doi:10.1111/den.15075 · Cited by 15 · see citing works
Jong, M. R., Jaspers, T. J. M., Kusters, C. H. J., Jukema, J. B., van Heslinga, R. A. H. V. E., Fockens, K. N., Boers, T. G. W., Visser, L. S., van der Putten, J. A., van der Sommen, F., et al. (2025) · United European Gastroenterology Journal · doi:10.1002/ueg2.12760 · Cited by 15 · see citing works
Traditional septotomy or Z-POEM for Zenker's diverticulum
Kaminski, M. F., Budnicka, A., Przybysz, A., & Pilonis, N. (2024) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2024.101943 · Cited by 14 · see citing works
Artificial Intelligence in Gastrointestinal Endoscopy
Labaki, C., Uche-Anya, E. N., & Berzin, T. M. (2024) · Gastroenterology Clinics of North America · doi:10.1016/j.gtc.2024.08.005 · Cited by 14 · see citing works
Randomized Controlled Trials Evaluating AI in Clinical Practice: A Scoping EvaluationPreprint
Han, R., Acosta, J., Shakeri, Z., Ioannidis, J. P. A., Topol, E. J., & Rajpurkar, P. (2023) · medRxiv · doi:10.1101/2023.09.12.23295381 · Cited by 14 · see citing works
Spadaccini, M., Hassan, C., Mori, Y., Massimi, D., Correale, L., Facciorusso, A., Patel, H. K., Rizkala, T., Khalaf, K., Ramai, D., et al. (2025) · Digestive and Liver Disease · doi:10.1016/j.dld.2025.01.192 · Cited by 13 · see citing works
Nie, M.-Y. (2024) · American Journal of Cancer Research · doi:10.62347/bziz6358 · Cited by 12 · see citing works
“Medical evidence suggests that each percentage point increase in ADR correlates with a 3% to 6% decrease in interstitial colorectal cancer incidence [3].”
Spadaccini, M., Hassan, C., Mori, Y., Halvorsen, N., Gimeno‐García, A. Z., Nakashima, H., Facciorusso, A., Patel, H. K., Antonelli, G., Khalaf, K., et al. (2025) · Digestive Endoscopy · doi:10.1111/den.15034 · Cited by 12 · see citing works
Xu, X., Ba, L., Lin, L., Song, Y., Zhao, C., Yao, S., Cao, H., Chen, X., Mu, J., Yang, L., et al. (2025) · Surgical Endoscopy · doi:10.1007/s00464-025-12080-x · Cited by 11 · see citing works
Bencardino, S., Lodola, I., Centanni, L., Mandarino, F. V., Fanizza, J., Furfaro, F., D’Amico, F., Fuccio, L., Bruni, A., Facciorusso, A., et al. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2025.1719145 · Cited by 16 · see citing works
Rønborg, S. N., Ujjal, S., Krøijer, R., & Ploug, M. (2024) · Clinical Endoscopy · doi:10.5946/ce.2024.038 · Cited by 11 · see citing works
The impact of artificial intelligence on the adenoma detection rate
Bernhofer, S., Prosenz, J., Venturi, D., & Maieron, A. (2025) · Wiener klinische Wochenschrift · doi:10.1007/s00508-025-02561-3 · Cited by 11 · see citing works
Tan, S., Zeng, P., Liu, S., Yang, Y., Chen, S., Zhang, W. Y., Li, X., Liu, D., Li, Y., & Chen, X. (2025) · International Journal of Colorectal Disease · doi:10.1007/s00384-025-04949-z · Cited by 11 · see citing works
Zimmermann‐Fraedrich, K., Sehner, S., Rösch, T., Aschenbeck, J., Schubert, S., Liceni, T., Moog, G., Neumann, H., Berndt, R., Weigt, J., et al. (2025) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000003500 · Cited by 10 · see citing works
Shen, L., Xu, M., Meng, Y., Sun, H., Zhang, T., Yang, H., Li, Y., & Ma, X. (2024) · MedComm – Oncology · doi:10.1002/mog2.91 · Cited by 9 · see citing works
Rex, D. K., Guardiola, J. J., Renteln, D. A. V., Mori, Y., Sharma, P. K., & Hassan, C. (2025) · Gut · doi:10.1136/gutjnl-2024-334456 · Cited by 9 · see citing works
Large language models for detecting colorectal polyps in endoscopic images
Carlini, L., Massimi, D., Mori, Y., Antonelli, G., Rizkala, T., Spadaccini, M., Lena, C., Parasa, S., Bisschops, R., Renteln, D. A. V., et al. (2025) · Gut · doi:10.1136/gutjnl-2025-335091 · Cited by 9 · see citing works
Shinozaki, S., Watanabe, J., Kanno, T., Yuan, Y., Yano, T., & Yamamoto, H. (2025) · Digestive Endoscopy · doi:10.1111/den.15047 · Cited by 9 · see citing works
Orzeszko, Z., Gach, T., Necka, S., Ochwat, K., Major, P., & Szura, M. (2025) · Surgical Endoscopy · doi:10.1007/s00464-025-11890-3 · Cited by 9 · see citing works
Yabuuchi, Y., Hosotani, K., Morihisa, Y., Fujio, Y., Oshikawa, D., Oshita, M., Iketani, M., Tsukamoto, K., Sone, A., Nanjo, T., et al. (2025) · Digestive Endoscopy · doi:10.1111/den.15086 · Cited by 10 · see citing works
“A key difference from previous CADe studies was the high base-line ADR; the control group in this study had an ADR of 54.5%, compared to 35.9% in a systematic review [8], where only 2 of 21 trials reported a higher ADR [24, 25].”
InfluentialLong-term impact of computer-aided adenoma detection: a prospective observational study
Okumura, T., Kudo, S.-E., Ide, Y., Kato, S., Miyata, Y., Takishima, K., Takashina, Y., Minegishi, Y., Abe, M., Sakurai, T., et al. (2025) · Endoscopy · doi:10.1055/a-2661-2624 · Cited by 9 · see citing works
Kader, R., Hassan, C., Lanas, Á., Romańczyk, M., Romańczyk, T., Kotowski, B., Homedes, C. S., Mangiavillano, B., Bonanno, G., Lovat, L. B., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-02270-1 · Cited by 11 · see citing works
Artificial intelligence in colonoscopy: Enhancing quality indicators for optimal patient outcomes
Dimopoulou, K., Spinou, M., Ioannou, A., Nakou, E., Zormpas, P., & Tribonias, G. (2025) · World Journal of Gastroenterology · doi:10.3748/wjg.v31.i40.111499 · Cited by 8 · see citing works
Shinozaki, S., Watanabe, J., Kanno, T., Nakazawa, K., & Yano, T. (2026) · Digestive Endoscopy · doi:10.1111/den.70138 · Cited by 8 · see citing works
“The development and dissemination of computer-aided detection (CADe) systems utilizing artificial intelligence (AI) improves ADR by 28% [7].”
Nagai, M., Ishibashi, F., Okusa, K., Mochida, K., Ozaki, E., Morishita, T., & Suzuki, S. (2024) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2024.09.028 · Cited by 7 · see citing works
Cost-Effectiveness for Artificial Intelligence in Colonoscopy
Halvorsen, N., & Mori, Y. (2024) · Gastrointestinal Endoscopy Clinics of North America · doi:10.1016/j.giec.2024.10.008 · Cited by 7 · see citing works
Lui, T. K.-L., Ko, M. K.-L., To, E. W.-P., & Leung, W. K. (2025) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2025.01.036 · Cited by 7 · see citing works
Quality assessment in endoscopy “artificial intelligence in endoscopy”
Mori, Y., & Misawa, M. (2025) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2025.102006 · Cited by 8 · see citing works
Pedersen, T. A., Mori, Y., Botteri, E., Engjom, T., Seip, B., Dimcevski, G. G., & Havre, R. F. (2026) · Endoscopy · doi:10.1055/a-2858-7084 · Cited by 10 · see citing works
Galati, J. S., Lin, K., & Gross, S. A. (2023) · Expert Review of Medical Devices · doi:10.1080/17434440.2023.2280773 · Cited by 7 · see citing works
Role of Artificial Intelligence for Colon Polyp Detection and Diagnosis and Colon Cancer
Rizkala, T., Menini, M., Massimi, D., & Repici, A. (2024) · Gastrointestinal Endoscopy Clinics of North America · doi:10.1016/j.giec.2024.10.005 · Cited by 7 · see citing works
Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery
Kuno, M., Osumi, H., Udagawa, S., Yoshikawa, K., Ooki, A., Shinozaki, E., Ishikawa, T., Oba, J., Yamaguchi, K., & Sakurada, K. (2025) · Current Oncology · doi:10.3390/curroncol32110588 · Cited by 7 · see citing works
“Meta-analyses report a ~14% relative improvement in the ADR over standard colonoscopy [39,40].”
Tariq, R., Dilmaghani, S., Advani, R. R., Soroush, A., Berzin, T. M., & Khanna, S. (2025) · Digestive Diseases and Sciences · doi:10.1007/s10620-025-09067-y · Cited by 6 · see citing works
Soleymanjahi, S., Rajashekar, N., Chung, S., Grimshaw, A. A., Tvedt, M. J. K., Foroutan, F., Sultan, S., Shung, D. L., & Kolb, J. M. (2025) · Gastro Hep Advances · doi:10.1016/j.gastha.2025.100746 · Cited by 6 · see citing works
Ahmad, O. F., de Groof, A. J., Ali, A. B., Bassett, P., Engels, M. M. L., Hoogenboom, S. A. M., Coelho‐Prabhu, N., Yu, H., Mwachiro, M., Parasa, S., et al. (2026) · Digestive Endoscopy · doi:10.1111/den.70123 · Cited by 6 · see citing works
“Artificial histology” in colonic Neoplasia: A critical approach
Faa, G., Fraschini, M., Didaci, L., Saba, L., Scartozzi, M., Orvieto, E., & Rugge, M. (2024) · Digestive and Liver Disease · doi:10.1016/j.dld.2024.11.001 · Cited by 7 · see citing works
Digital health technologies in swallowing care from screening to rehabilitation: A narrative review
Alter, I. L., Dias, C. G., Briano, J. A., & Rameau, A. (2025) · Auris Nasus Larynx · doi:10.1016/j.anl.2025.05.002 · Cited by 5 · see citing works
The serrated pathway and colorectal cancer: what the gastroenterologist should know
Hagen, R., Srivastava, A., & Anderson, J. C. (2025) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2025.2509797 · Cited by 5 · see citing works
“Additionally, a meta-analysis including 12 studies found little or no effect of CADe on serrated polyp detection and noted an increased rate of noncancerous polyp removal [90].”
Large language model for interpreting the Paris classification of colorectal polyps
Massimi, D., Carlini, L., Mori, Y., Stefano, L. D., Antonelli, G., Rizkala, T., Spadaccini, M., de Sire, R., Alfarone, L., Lena, C., et al. (2025) · Endoscopy International Open · doi:10.1055/a-2703-0209 · Cited by 5 · see citing works
Leggett, C. L., Plowman, R. S., Surace, L., Gorospe, E. C., Lachter, J., Shor, D. B., Friedenberg, K., Leiman, D. A., Schlachter, S. C., Patwardhan, A. J., et al. (2026) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2025.12.290 · Cited by 7 · see citing works
Artificial Intelligence for Gastroenterology Practice: A Modified Delphi Consensus
Gross, S., Shaukat, A., Afzali, A., Ahn, J. C., Bajaj, J. S., Barkin, J. A., Bilal, M., Chawla, S., Coelho–Prabhu, N., Enslin, S., et al. (2026) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000003944 · Cited by 5 · see citing works
Hayek, M. A., Barberio, B., Hayek, O. A., Rugge, M., Pietro, M. D., Nounou, M. V., Elhadi, M., & Savarino, E. V. (2026) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2026.02.005 · Cited by 5 · see citing works
de la Osa, D. R., Fernández, J. S., Urra, C. P., Pinedo, P. E., Labrador, C. B. B., Ibáñez, C. M., de Castro, E. G., Citores, L. P., Moretón, Á. M. M., Santamarta, F. S., et al. (2026) · Colorectal Disease · doi:10.1111/codi.70426 · Cited by 5 · see citing works
“%) saw a 56% relative improvement with AI, whereas in high-ADR contexts ( > 40%), the improvement was only 16% [ 18].”
Computer-Assisted Colonoscopy in High–Adenoma Detection Rate Settings in a High-Risk Population
Hsu, W., Kuo, C., Yen, H., Lin, Y.-M., Chen, Y.-N., Sun, C., Chang, W., Lin, H.-H., Wu, H., Chang, L., et al. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2026.4881 · Cited by 6 · see citing works
From Staining Techniques to Artificial Intelligence: A Review of Colorectal Polyps Characterization
Khalaf, K., Fujiyoshi, M. R. A., Spadaccini, M., Rizkala, T., Ramai, D., Colombo, M., Fugazza, A., Facciorusso, A., Carrara, S., Hassan, C., et al. (2024) · Medicina · doi:10.3390/medicina60010089 · Cited by 5 · see citing works
“A recent meta-analysis from Hassan et al. that analyzed 21 randomized control trials, comparing standard colonoscopy versus colonoscopy with the use Computer Aided Detection (CADe) systems (computer-aided detection), showed a 24% increase in the ADR [41].”
MethodImpact of Artificial Intelligence on Pancreaticobiliary Endoscopy
Jain, A., Pabba, M., Jain, A., Singh, S., Ali, H., Vinayek, R., Aswath, G., Sharma, N. R., Inamdar, S., & Facciorusso, A. (2025) · Cancers · doi:10.3390/cancers17030379 · Cited by 5 · see citing works
Kafetzis, I. S., Sodmann, P., Hüneburg, R., Nattermann, J., Martens, N., Englmann, D. R., Zoller, W. G., Meining, A. G., & Hann, A. (2025) · PLoS ONE · doi:10.1371/journal.pone.0325987 · Cited by 6 · see citing works
Lam, T. Y. T., Hu, Y., Yi, Y., Schulz, P. J., Lwin, M. O., Kee, K. M., Goh, W. W. B., Cheung, M. F. K., Lee, H. S., Fan, A. S. H., et al. (2025) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.17042 · Cited by 5 · see citing works
“The first two scenarios, the applications of AI focused on the detection and diagnosis of polyps during colonoscopy, which have been extensively validated in clinical settings [4, 5].”
Jeon, H. J., Keum, B., Jeong, E. S., Kim, S., Moon, C. M., Lee, B., Kim, S. H., Choi, H. S., Lee, J. M., Kim, E. S., et al. (2025) · Gut and Liver · doi:10.5009/gnl250369 · Cited by 4 · see citing works
Outcomes of Artificial Intelligence-Enhanced Colonoscopy in a Tertiary Clinical Setting
Nayar, K. D., Yakout, A., Bakheet, N. G., Sanchez, P. S., Osagiede, O., Haq, K. S., Yan, Y., Yuting, H., Conklin, K., Wallace, M. B., et al. (2026) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000003953 · Cited by 4 · see citing works
Ito, S., Ishibashi, F., Okusa, K., Mochida, K., Tonishi, T., Ozaki, E., & Suzuki, S. (2026) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.70351 · Cited by 4 · see citing works
Reimbursement and Regulatory Landscape for Artificial Intelligence in Medical Technology
Sun, E., & Littenberg, G. D. (2025) · Gastrointestinal Endoscopy Clinics of North America · doi:10.1016/j.giec.2024.12.003 · Cited by 4 · see citing works
Gadi, S. R. V., Mori, Y., Misawa, M., East, J. E., Hassan, C., Repici, A., Byrne, M. F., Renteln, D. A. V., Hewett, D. G., Wang, P., et al. (2024) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2024.11.042 · Cited by 4 · see citing works
Bernhofer, S., Prosenz, J., Duller, C., Venturi, D., & Maieron, A. (2026) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000003558 · Cited by 4 · see citing works
Aleissa, M. A., Luca, M., Singh, J. P., Chitragari, G., Drelichman, E. R., Mittal, V. K., & Bhullar, J. S. (2025) · Artificial Intelligence in Gastroenterology · doi:10.35712/aig.v6.i1.106149 · Cited by 4 · see citing works
Sugino, S., Yoshida, N., Guo, Z., Zhang, R., Inoue, K., Hirose, R., Dohi, O., Itoh, Y., Nemoto, D., Togashi, K., et al. (2024) · Journal of the Anus Rectum and Colon · doi:10.23922/jarc.2023-070 · Cited by 5 · see citing works
A dataset for quality evaluation of pelvic X-ray and diagnosis of developmental dysplasia of the hip
Qi, G., Jiao, X., Li, J., Qin, C., Li, X., Sun, Z., Zhao, Y., Jiang, R., Zhu, Z., Zhao, G., et al. (2025) · Scientific Data · doi:10.1038/s41597-025-05146-x · Cited by 4 · see citing works
Combining techniques and technologies increases adenoma detection rates in colonoscopy: More is more
Stasinos, I., Voulgaris, T. A., Alexopoulos, T., & Karamanolis, G. P. (2025) · World Journal of Gastrointestinal Endoscopy · doi:10.4253/wjge.v17.i8.107734 · Cited by 3 · see citing works
Nasr, E., Al-Hamid, Z., Younan, M. H., Omran, M., Sarsam, M., & Abdellatif, M. (2025) · Cureus · doi:10.7759/cureus.95178 · Cited by 6 · see citing works
“CADe consistently improves detection performance, supporting earlier intervention and potentially lowering interval CRC risk (Figure 1 ) [12-14].”
Ham, D. Y., Lee, J. G., Ahn, C. I., Kae, S. H., & Jang, H. J. (2025) · BMC Gastroenterology · doi:10.1186/s12876-025-04011-w · Cited by 3 · see citing works
Qutob, I. A., Soliman, A. M. A., Trabelsi, R., Elkholy, M. K. A., Elgahamy, A. S., Abuismail, M. M., Hamouda, M. N., Elhaddad, I., Eldaly, A. A., Elgarawany, A., et al. (2025) · Journal of Gastrointestinal Cancer · doi:10.1007/s12029-025-01353-2 · Cited by 3 · see citing works
Suarez, M., Martínez, R., González-Martínez, F., Torres, A. M., & Mateo, J. (2026) · World Journal of Hepatology · doi:10.4254/wjh.v18.i2.114834 · Cited by 3 · see citing works
Lux, T. J., Saßmannshausen, Z., Kafetzis, I. S., Banck, M., Krenzer, A., Fitting, D., Sudarevic, B., Troya, J., Böck, W., Passek, F., et al. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-02576-8 · Cited by 3 · see citing works
Akimoto, N., Goto, O., Nishimoto, T., Habu, T., Inoue, R., Nakagome, S., Shimazu, Y., Hoshimoto, A., Koizumi, E., Higuchi, K., et al. (2026) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2026.04.014 · Cited by 3 · see citing works
- Authors
- Hassan, C., Spadaccini, M., Mori, Y., Foroutan, F., Facciorusso, A., Gkolfakis, P., Tziatzios, G., Triantafyllou, K., Antonelli, G., Khalaf, K., Rizkala, T., Vandvik, P. O., Fugazza, A., Rondonotti, E., Glissen-Brown, J. R., Kamba, S., Maida, M., Correale, L., Bhandari, P., Jover, R., Sharma, P., Rex, D. K., & Repici, A.
- Affiliations
- Humanitas University (IT)
- University of Oslo (NO)
- University Health Network (CA)
- University of Foggia (IT)
- Université Libre de Bruxelles (BE)
- National and Kapodistrian University of Athens (GR)
- Hepatogastroenterology Unit, Second Department of Internal Medicine-Propaedeutic, Medical School, National and Kapodistrian University of Athens, Attikon University General Hospital, Athens, Greece (G.T., K.T.)
- Sapienza University of Rome (IT)
- Lovisenberg Diakonale Sykehus (NO)
- IRCCS Humanitas Research Hospital (IT)
- Ospedale Valduce (IT)
- Center for Advanced Endoscopy, Division of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts (J.R.G.)
- Jikei University School of Medicine (JP)
- Gastroenterology and Endoscopy Unit, S. Elia-Raimondi Hospital, Caltanissetta, Italy (M.M.)
- Queen Alexandra Hospital (GB)
- Hospital General Universitario de Alicante Doctor Balmis (ES)
- Kansas City VA Medical Center (US)
- Indiana University Hospital (US)
- Corresponding author
- Hassan, Cesare
- Spadaccini, Marco
- ORCID
- Hassan, Cesare
- Spadaccini, Marco
- Mori, Yuichi
- Foroutan, Farid
- Facciorusso, Antonio
- Gkolfakis, Paraskevas
- Tziatzios, Georgios
- Antonelli, Giulio
- Khalaf, Kareem
- Rizkala, Tommy
- Vandvik, Per Olav
- Fugazza, Alessandro
- Rondonotti, Emanuele
- Glissen-Brown, Jeremy R.
- Kamba, Shunsuke
- Maida, Marcello
- Correale, Loredana
- Bhandari, Pradeep
- Jover, Rodrigo
- Sharma, Prateek
- Rex, Douglas K.
- Repici, Alessandro
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2023-09
- Volume
- 176
- Issue
- 9
- Pages
- 1209-1220
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W4386213466
- Cited by
- 216
- References
- 37
- Citations by year
- 2026: 62 · 2025: 88 · 2024: 58 · 2023: 8
- FWCI
- 6.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (23K24615)
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
- Keywords
- computer-aided detection, colorectal neoplasia, colonoscopy, adenoma detection rate, advanced adenoma, serrated lesions, polypectomy, overdiagnosis, artificial intelligence, colorectal cancer screening, withdrawal time, inspection time, adenoma miss rate, colorectal cancer
- MeSH terms
- Artificial Intelligence, Colonoscopy, Computers, Humans, Colorectal Neoplasms, Databases, Factual
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
