The Augmented Colonoscopy With Computer-Aided Polyp Characterization Study: Prospective Study Comparing the Diagnostic Reliability of Optical Diagnosis of Trainees With Experts Without Artificial Intelligence

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109 · see citing works

Guidelines for Colonoscopy Surveillance After Screening and Polypectomy: A Consensus Update by the US Multi-Society Task Force on Colorectal Cancer

Lieberman, D. A., Rex, D. K., Winawer, S. J., Giardiello, F. M., Johnson, D. A., & Levin, T. R. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.06.001 · Cited by 1,889 · see citing works

Colorectal polypectomy and endoscopic mucosal resection (EMR): European Society of Gastrointestinal Endoscopy (ESGE) Clinical Guideline

Ferlitsch, M., Moss, A., Hassan, C., Bhandari, P., Dumonceau, J., Paspatis, G. A., Jover, R., Langner, C., Bronzwaer, M. E. S., Nalankilli, K., et al. (2017) · Endoscopy · doi:10.1055/s-0043-102569 · Cited by 1,107 · see citing works

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model

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

The American Society for Gastrointestinal Endoscopy PIVI (Preservation and Incorporation of Valuable Endoscopic Innovations) on real-time endoscopic assessment of the histology of diminutive colorectal polyps

Rex, D. K., Kahi, C., O'Brien, M., Levin, T. R., Pohl, H., Rastogi, A., Burgart, L., Imperiale, T., Ladabaum, U., Cohen, J., et al. (2011) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2011.01.023 · Cited by 629 · see citing works

Post-polypectomy colonoscopy surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2020

Hassan, C., Antonelli, G., Dumonceau, J., Reguła, J., Bretthauer, M., Chaussade, S., Dekker, E., Ferlitsch, M., Gimeno‐García, A. Z., Jover, R., et al. (2020) · Endoscopy · doi:10.1055/a-1185-3109 · Cited by 516 · see citing works

Narrow-Band Imaging in the Diagnosis of Colorectal Mucosal Lesions: A Pilot Study

Machida, H., Sano, Y., Hamamoto, Y., Muto, M., Kozu, T., Tajiri, H., & Yoshida, S. (2004) · Endoscopy · doi:10.1055/s-2004-826040 · Cited by 514 · see citing works

Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study

Mori, Y., Kudo, S.-E., Misawa, M., Saito, Y., Ikematsu, H., Hotta, K., Ohtsuka, K., Urushibara, F., Kataoka, S., Ogawa, Y., et al. (2018) · Annals of Internal Medicine · doi:10.7326/m18-0249 · Cited by 509 · see citing works

Colorectal cancer incidence, mortality, and stage distribution in European countries in the colorectal cancer screening era: an international population-based study

Cardoso, R., Guo, F., Heisser, T., Hackl, M., Ihle, P., Schutter, H. D., Damme, N. V., Valerianova, Z., Atanasov, T., Májek, O., et al. (2021) · The Lancet Oncology · doi:10.1016/s1470-2045(21)00199-6 · Cited by 487 · see citing works

Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis

Chen, P., Lin, M.-C., Lai, M.-J., Lin, J.-C., Lu, H. H., & Tseng, V. S. M. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.10.010 · Cited by 396 · see citing works

ASGE Technology Committee systematic review and meta-analysis assessing the ASGE PIVI thresholds for adopting real-time endoscopic assessment of the histology of diminutive colorectal polyps

Abu Dayyeh, B. K., Thosani, N., Konda, V., Wallace, M. B., Rex, D. K., Chauhan, S. S., Hwang, J. H., Komanduri, S., Manfredi, M., Maple, J. T., et al. (2015) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2014.12.022 · Cited by 389 · see citing works

A Resect and Discard Strategy Would Improve Cost-Effectiveness of Colorectal Cancer Screening

Hassan, C., Pickhardt, P. J., & Rex, D. K. (2010) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2010.05.018 · Cited by 294 · 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

Experimental evidence of effective human–AI collaboration in medical decision-making

Reverberi, C., Rigon, T., Solari, A., Hassan, C., Cherubini, P., GI Genius CADx Study Group, Antonelli, G., Awadie, H., Bernhofer, S., Carballal, S., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-18751-2 · Cited by 235 · see citing works

Real-Time Optical Biopsy of Colon Polyps With Narrow Band Imaging in Community Practice Does Not Yet Meet Key Thresholds for Clinical Decisions

Ladabaum, U., Fioritto, A., Mitani, A., Desai, M., Kim, J. P., Rex, D. K., Imperiale, T., & Gunaratnam, N. (2013) · Gastroenterology · doi:10.1053/j.gastro.2012.09.054 · Cited by 224 · see citing works

Real-Time Computer-Aided Detection of Colorectal Neoplasia During Colonoscopy: A Systematic Review and Meta-analysis

Hassan, C., Spadaccini, M., Mori, Y., Foroutan, F., Facciorusso, A., Gkolfakis, P., Tziatzios, G., Triantafyllou, K., Antonelli, G., Khalaf, K., et al. (2023) · Annals of Internal Medicine · doi:10.7326/m22-3678 · Cited by 216 · see citing works

Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study

Rees, C. J., Rajasekhar, P. T., Wilson, A., Close, H., Rutter, M. D., Saunders, B. P., East, J. E., Maier, R., Moorghen, M., Muhammad, U., et al. (2017) · Gut · doi:10.1136/gutjnl-2015-310584 · Cited by 211 · see citing works

Artificial intelligence-assisted colonoscopy for colorectal cancer screening: a multicenter randomized controlled trial

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

A quantitative assessment of the risks and cost savings of forgoing histologic examination of diminutive polyps

Kessler, W. R., Imperiale, T. F., Klein, R. W., Wielage, R. C., & Rex, D. K. (2011) · Endoscopy · doi:10.1055/s-0030-1256381 · Cited by 164 · see citing works

Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)

Mori, Y., Kudo, S.-E., East, J. E., Rastogi, A., Bretthauer, M., Misawa, M., Sekiguchi, M., Matsuda, T., Saito, Y., Ikematsu, H., et al. (2020) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2020.03.3759 · Cited by 155 · see citing works

Validation study for development of the Japan NBI Expert Team classification of colorectal lesions

Iwatate, M., Sano, Y., Tanaka, S., et al. (2018) · Digestive Endoscopy · doi:10.1111/den.13065 · Cited by 143 · see citing works

Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study

Rondonotti, E., Hassan, C., Tamanini, G., Antonelli, G., Andrisani, G., Leonetti, G., Paggi, S., Amato, A., Scardino, G., Di Paolo, D., et al. (2023) · Endoscopy · doi:10.1055/a-1852-0330 · Cited by 128 · see citing works

Artificial Intelligence Allows Leaving-In-Situ Colorectal Polyps

Hassan, C., Balsamo, G., Lorenzetti, R., Zullo, A., & Antonelli, G. (2022) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2022.04.045 · Cited by 119 · see citing works

Curriculum for optical diagnosis training in Europe: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

Dekker, E., Houwen, B. B. S. L., Puig, I., Bustamante, M., Coron, E., Dobru, D. E., Kuvaev, R. O., Neumann, H., Johnson, G., Pimentel‐Nunes, P., et al. (2020) · Endoscopy · doi:10.1055/a-1231-5123 · Cited by 106 · see citing works

Expert opinions and scientific evidence for colonoscopy key performance indicators

Rees, C. J., Bevan, R., Zimmermann‐Fraedrich, K., Rutter, M. D., Rex, D. K., Dekker, E., Ponchon, T., Bretthauer, M., Reguła, J., Saunders, B. P., et al. (2016) · Gut · doi:10.1136/gutjnl-2016-312043 · Cited by 105 · see citing works

Reduction in colorectal cancer incidence by screening endoscopy

Brenner, H., Heisser, T., Cardoso, R., & Hoffmeister, M. (2023) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-023-00847-3 · Cited by 79 · see citing works

An analysis about the function of a new artificial intelligence, CAD EYE with the lesion recognition and diagnosis for colorectal polyps in clinical practice

Yoshida, N., Inoue, K., Tomita, Y., Kobayashi, R., Hashimoto, H., Sugino, S., Hirose, R., Dohi, O., Yasuda, H., Morinaga, Y., et al. (2021) · International Journal of Colorectal Disease · doi:10.1007/s00384-021-04006-5 · Cited by 45 · see citing works

Compbdt: an R program to compare two binary diagnostic tests subject to a paired design

Nofuentes, J. A. R. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-00988-y · Cited by 42 · see citing works

Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis

van der Zander, Q. E. W., Schreuder, R. M., Fonollà, R., Scheeve, T., van der Sommen, F., Winkens, B., Aepli, P. R., Hayee, B., Pischel, A., Stefanovic, M., et al. (2020) · Endoscopy · doi:10.1055/a-1343-1597 · Cited by 40 · see citing works

Uptake and barriers for implementation of the resect and discard strategy: an international survey

Willems, P., Djinbachian, R., Ditisheim, S., Orkut, S., Pohl, H., Barkun, A. N., Bouin, M., Faulques, B., & Renteln, D. A. V. (2020) · Endoscopy International Open · doi:10.1055/a-1132-5371 · Cited by 37 · see citing works

Resect and Discard Approach to Colon Polyps: Real-World Applicability Among Academic and Community Gastroenterologists

Vu, H. T., Sayuk, G. S., Hollander, T. G., et al. (2014) · Digestive Diseases and Sciences · doi:10.1007/s10620-014-3376-z · Cited by 36 · see citing works

Narrow-band Imaging International Colorectal Endoscopic Classification to predict polyp histology: REDEFINE study (with videos)

Repici, A., Ciscato, C., Correale, L., et al. (2016) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2016.02.020 · Cited by 36 · see citing works

Diagnostic Accuracy of NICE Classification System for Optical Recognition of Predictive Morphology of Colorectal Polyps

Patrun, J., Okreša, L., Iveković, H., & Rustemović, N. (2018) · Gastroenterology Research and Practice · doi:10.1155/2018/7531368 · Cited by 32 · see citing works

Real-time, computer-aided, detection-assisted colonoscopy eliminates differences in adenoma detection rate between trainee and experienced endoscopists

Biscaglia, G., Cocomazzi, F., Gentile, M., Loconte, I., Mileti, A., Paolillo, R., Marra, A., Castellana, S., Mazza, T., Leo, A. D., et al. (2022) · Endoscopy International Open · doi:10.1055/a-1783-9678 · Cited by 32 · see citing works

Serrated polyp detection rate and advanced adenoma detection rate from a US multicenter cohort

Klair, J. S., Ashat, M., Johnson, D., Arora, S. S., Onteddu, N. K. R., Machain, J., Samuel, R. E., Bilal, M., Buddam, A. R., Gupta, A., et al. (2019) · Endoscopy · doi:10.1055/a-1031-5672 · Cited by 29 · see citing works

Impact of adenoma detection rate on detection of advanced adenomas and endoscopic adverse events in a study of over 200,000 screening colonoscopies

Penz, D., Ferlitsch, A., Waldmann, E. A., Gessl, I., Pammer, D., Asaturi, A., Hinterberger, A., Majcher, B., Szymanska, A., Trauner, M. A., et al. (2019) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2019.08.038 · Cited by 28 · see citing works

Current and future implications of artificial intelligence in colonoscopy

Antonelli, G. (2023) · Annals of Gastroenterology · doi:10.20524/aog.2023.0781 · Cited by 28 · see citing works

Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction

van der Zander, Q. E. W., Roumans, R., Kusters, C. H. J., Dehghani, N., Masclee, A. A. M., de With, P. H. N., van der Sommen, F., Snijders, C. C. P., & Schoon, E. J. (2024) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2024.06.029 · Cited by 27 · see citing works

Curriculum for optical diagnosis training in Europe: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

Dekker, E., Houwen, B. B. S. L., Puig, I., Bustamante, M., Coron, E., Dobru, D. E., Kuvaev, R. O., Neumann, H., Johnson, G., Pimentel‐Nunes, P., et al. (2020) · Endoscopy · doi:10.1055/a-1264-2634 · Cited by 19 · see citing works

REAL-TIME COMPUTER-AIDED DETECTION OF COLORECTAL NEOPLASIA DURING COLONOSCOPY: SYSTEMATIC REVIEW AND META-ANALYSIS

Spadaccini, M., Hassan, C., Marco, A. D., Mori, Y., Facciorusso, A., Gkolfakis, P., Tziatzios, G., Τriantafyllou, Κ., Antonelli, G., Khalaf, K., et al. (2023) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2023.04.1180 · Cited by 18 · see citing works

Confidence Intervals and Sample Size to Compare the Predictive Values of Two Diagnostic Tests

Nofuentes, J. A. R., & Sidaty-Regad, S. B. (2021) · Mathematics · doi:10.3390/math9131462 · Cited by 5 · see citing works

Accuracy in optical diagnosis for polyps between 5 and 15 mm and its implications on surveillance. A prospective, multicenter study. (POPS study)

Redondo‐Cerezo, E., Heredia-Carrasco, C., Alegría-Motte, C., Caballero-Mateos, A. M., Vadillo‐Calles, F., Ortega‐Suazo, E. J., Martos-Ruiz, V., Ariza-Fernández, J. L., López-González, E., Martínez‐Cara, J. G., et al. (2022) · Surgical Endoscopy · doi:10.1007/s00464-021-08917-w · Cited by 4 · see citing works

Augmented Colonoscopy with Computer-Aided polyp characterization – evaluation of the performance of an artificial intelligence application in the classification of colorectal polyps

Bernhofer, S., Prosenz, J., & Maieron, A. (2024) · Endoscopy · doi:10.1055/s-0044-1782965

Polyps characterization: a real time optical diagnosis between the endoscopist and the AI (CADx). A multicentre randomized controlled trial in a western setting

Mastrorocco, E., Siggens, K., Haidry, R. J., Chedgy, F., Kandiah, K., Norton, B. C., Htet, H. M. T., Lim, M. S., Alkandari, A. A., & Bhandari, P. (2026) · Endoscopy · doi:10.1055/s-0046-1820655

Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study

Rondonotti, E., Hassan, C., Tamanini, G., Antonelli, G., Andrisani, G., Leonetti, G., Paggi, S., Amato, A., Scardino, G., Di Paolo, D., et al. (2023) · Endoscopy · doi:10.1055/a-1852-0330 · Cited by 128 · see citing works

Optical Diagnosis in Colonoscopy: We can’t all be (GI) Geniuses

hanly, M., Varley, R., Kumar, L., Gibbons, E., Mccrossan, M., Aimée, D., Thomas, S., Hall, B. J., Kelly, O., Horgan, G., et al. (2024) · Endoscopy · doi:10.1055/s-0044-1783196

Insights into trainee endoscopist-CADx artificial intelligence interaction – exploratory analysis of data from a prospective observational study of CADx-supported trainee endoscopist diagnostic competency

Marko, V., Prosenz, J., Bernhofer, S., Venturi, D., Koutny, F., & Maieron, A. (2025) · Zeitschrift für Gastroenterologie · doi:10.1055/s-0045-1809262