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

Colonoscopic Polypectomy and Long-Term Prevention of Colorectal-Cancer Deaths

Zauber, A. G., Winawer, S. J., O’Brien, M. J., Lansdorp‐Vogelaar, I., van Ballegooijen, M., Hankey, B. F., Shi, W., Bond, J. H., Schapiro, M., Panish, J. F., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1100370 · Cited by 3,185 · see citing works

Adenoma detection rate and risk of colorectal cancer and death

Corley, D. A., Jensen, C. D., Marks, A. R., Zhao, W. K., Lee, J. K., Doubeni, C. A., Zauber, A. G., de Boer, J., Fireman, B. H., Schottinger, J. E., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1309086 · Cited by 2,270 · see citing works

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Ardila, D., Kiraly, A. P., Bharadwaj, S., Choi, B., Reicher, J. J., Peng, L., Tse, D., Etemadi, M., Ye, W., Corrado, G., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0447-x · Cited by 2,167 · see citing works

The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research

Lai, E. J., Calderwood, A. H., Doros, G. D., Fix, O. K., & Jacobson, B. C. (2009) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2008.05.057 · Cited by 1,322 · see citing works

Association of Colonoscopy and Death From Colorectal Cancer

Baxter, N. N., Goldwasser, M. A., Paszat, L. F., Saskin, R., Urbach, D. R., & Rabeneck, L. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-1-200901060-00306 · Cited by 1,251 · see citing works

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

Rodriguez-Ruiz, A., Lång, K., Gubern-Merida, A., Broeders, M., Gennaro, G., Clauser, P., Helbich, T. H., Chevalier, M., Tan, T., Mertelmeier, T., et al. (2019) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djy222 · Cited by 692 · see citing works

Gastrointestinal epithelial neoplasia: Vienna revisited

Dixon, M. F. (2002) · Gut · doi:10.1136/gut.51.1.130 · Cited by 688 · see citing works

Magnitude, risk factors, and factors associated with adenoma miss rate of tandem colonoscopy: a systematic review and meta-analysis

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

Risk of Developing Colorectal Cancer Following a Negative Colonoscopy Examination

Singh, H., Turner, D., Xue, L., Targownik, L. E., & Bernstein, C. N. (2006) · JAMA · doi:10.1001/jama.295.20.2366 · Cited by 427 · see citing works

Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

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

Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

Misawa, M., Kudo, S., Mori, Y., Cho, T., Kataoka, S., Yamauchi, A., Ogawa, Y., Maeda, Y., Takeda, K., Ichimasa, K., et al. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.04.003 · Cited by 395 · see citing works

Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study

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

Postcolonoscopy colorectal cancers are preventable: a population-based study

le Clercq, C. M. C., Bouwens, M. W. E., Rondagh, E. J. A., Bakker, C. M., Keulen, E. T. P., de Ridder, R. J. J., Winkens, B., Masclee, A., & Sanduleanu, S. (2013) · Gut · doi:10.1136/gutjnl-2013-304880 · Cited by 377 · see citing works

Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2019

Bisschops, R., East, J. E., Hassan, C., Hazewinkel, Y., Kaminski, M. F., Neumann, H., Pellisé, M., Antonelli, G., Bustamante, M., Coron, E., et al. (2019) · Endoscopy · doi:10.1055/a-1031-7657 · Cited by 344 · see citing works

Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos)

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

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

Post-colonoscopy colorectal cancer (PCCRC) rates vary considerably depending on the method used to calculate them: a retrospective observational population-based study of PCCRC in the English National Health Service

Morris, E. J. A., Rutter, M. D., Finan, P. J., Thomas, J. D., & Valori, R. (2014) · Gut · doi:10.1136/gutjnl-2014-308362 · Cited by 156 · see citing works

The Efficacy of Cap-Assisted Colonoscopy in Polyp Detection and Cecal Intubation: A Meta-Analysis of Randomized Controlled Trials

Ng, S. C., Tsoi, K. K. F., Hirai, H. W., Lee, Y. T., Wu, J. C., Sung, J. J. �., Chan, F. K. L., & Lau, J. Y. W. (2012) · The American Journal of Gastroenterology · doi:10.1038/ajg.2012.135 · Cited by 139 · see citing works

Risk of colorectal cancer incidence and mortality after polypectomy: a Swedish record-linkage study

Song, M., Emilsson, L., Bozorg, S. R., Nguyen, L. H., Joshi, A. D., Staller, K. D., Nayor, J., Chan, A. T., & Ludvigsson, J. F. (2020) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(20)30009-1 · Cited by 111 · see citing works

Artificial Intelligence-Assisted Colonoscopy for Detection of Colon Polyps: a Prospective, Randomized Cohort Study

Luo, Y., Zhang, Y., Liu, M., Lai, Y., Liu, P., Wang, Z., Xing, T., Huang, Y., Li, Y., Li, A., et al. (2020) · Journal of Gastrointestinal Surgery · doi:10.1007/s11605-020-04802-4 · Cited by 98 · see citing works

Prevalence and Clinical Features of Sessile Serrated Polyps: A Systematic Review

Meester, R. G. S., van Herk, M. M. A. G. C., Lansdorp‐Vogelaar, I., & Ladabaum, U. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.03.025 · Cited by 97 · see citing works

Full-spectrum (FUSE) versus standard forward-viewing colonoscopy in an organised colorectal cancer screening programme

Hassan, C., Senore, C., Radaelli, F., de Pretis, G., Sassatelli, R., Arrigoni, A., Manes, G., Amato, A., Anderloni, A. A., Armelao, F., et al. (2016) · Gut · doi:10.1136/gutjnl-2016-311906 · Cited by 82 · see citing works

Adenoma detection rates in colonoscopies for positive fecal immunochemical tests versus direct screening colonoscopies

Wong, J. C. T., Chiu, H., Kim, H., Byeon, J., Matsuda, T., Kobayashi, N., Wu, D., Ong, D. E., & Sung, J. J. �. (2018) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2018.11.014 · Cited by 59 · see citing works

Colonoscopist Performance and Colorectal Cancer Risk After Adenoma Removal to Stratify Surveillance: Two Nationwide Observational Studies

Wieszczy, P., Waldmann, E. A., Løberg, M., Reguła, J., Rupiński, M., Bugajski, M., Gray, K. P., Kalager, M., Ferlitsch, M., Kaminski, M. F., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.10.009 · Cited by 53 · see citing works

Recurrence of Colorectal Neoplastic Polyps After Incomplete Resection

Pohl, H., Anderson, J. C., Aguilera-Fish, A. H., Calderwood, A. H., MacKenzie, T. A., & Robertson, D. J. (2021) · Annals of Internal Medicine · doi:10.7326/m20-6689 · Cited by 50 · see citing works

Two vs One Forward View Examination of Right Colon on Adenoma Detection: An International Multicenter Randomized Trial

Tang, R. S. Y., Lee, J. W. J., Chang, L., Ong, D. E. H., Chiu, H., Matsuda, T., Kim, H., Sekiguchi, M., Leong, R. W. L., Ho, A. M. Y., et al. (2020) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2020.10.014 · Cited by 34 · see citing works

Prevalence and risk factors for sessile serrated lesions in an average risk colorectal cancer screening population

Lui, R. N.-S., Kyaw, M. H., Lam, T. Y. T., Ching, J. Y. L., Chan, V. C. W., Wong, M. C. S., & Sung, J. J. �. (2020) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.15368 · Cited by 18 · see citing works

ID: 3519580 A MULTICENTRE RANDOMIZED CONTROLLED TRIAL TO VERIFY THE REDUCIBILITY OF ADENOMA MISS RATE OF COLONOSCOPY ASSISTED WITH ARTIFICIAL INTELLIGENCE BASED SOFTWARE

Kamba, S., Tamai, N., Horiuchi, H., Matsui, H., Kobayashi, M., Ego, M., Sakamoto, T., Fukuda, A., Tonouchi, A., Shimahara, Y., et al. (2021) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2021.03.439 · Cited by 5 · 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

Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions

Lotter, W., Hassett, M. J., Schultz, N., Kehl, K. L., Van Allen, E. M., & Cerami, E. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-23-1199 · Cited by 196 · see citing works

Epidemiology of gastrointestinal cancers: a systematic analysis from the Global Burden of Disease Study 2021

Danpanichkul, P., Suparan, K., Tothanarungroj, P., Dejvajara, D., Rakwong, K., Pang, Y., Barba, R., Thongpiya, J., Fallon, M. B., Harnois, D. M., et al. (2024) · Gut · doi:10.1136/gutjnl-2024-333227 · Cited by 164 · see citing works

Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective

Sufyan, M., Shokat, Z., & Ashfaq, U. A. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107356 · Cited by 149 · see citing works

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment

Zhang, C., Xu, J., Tang, R., Yang, J., Wang, W., Yu, X., & Shi, S. (2023) · Journal of Hematology & Oncology · doi:10.1186/s13045-023-01514-5 · Cited by 148 · see citing works

Use of artificial intelligence improves colonoscopy performance in adenoma detection: a systematic review and meta-analysis

Makar, J., Abdelmalak, J., Con, D., Hafeez, B., & Garg, M. (2024) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2024.08.033 · Cited by 135 · see citing works

Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review

Yim, D., Khuntia, J., Parameswaran, V., & Meyers, A. D. (2024) · JMIR Medical Informatics · doi:10.2196/52073 · Cited by 129 · see citing works

Artificial 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

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

An efficient colorectal cancer detection network using atrous convolution with coordinate attention transformer and histopathological images

Khalid, M., Deivasigamani, S., Sathiya, V., & Rajendran, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-70117-y · Cited by 78 · see citing works

Medical education and physician training in the era of artificial intelligence

Xu, Y., Jiang, Z., Ting, D. S. W., Kow, A. W. C., Bello, F., Car, J., Tham, Y.-C., & Wong, T. Y. (2024) · Singapore Medical Journal · doi:10.4103/singaporemedj.smj-2023-203 · Cited by 76 · see citing works

Artificial intelligence for colorectal neoplasia detection during colonoscopy: a systematic review and meta-analysis of randomized clinical trials

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

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

Seager, 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

Colon Cancer Screening Methods: 2023 Update

Jayasinghe, M., Prathiraja, O., Caldera, D., Jena, R., Coffie-Pierre, J. A., Silva, M. S., & Siddiqui, O. S. (2023) · Cureus · doi:10.7759/cureus.37509 · Cited by 65 · see citing works

Vitamin D and human health: evidence from Mendelian randomization studies

Fang, A., Zhao, Y., Yang, P., Zhang, X., & Giovannucci, E. L. (2024) · European Journal of Epidemiology · doi:10.1007/s10654-023-01075-4 · Cited by 64 · see citing works

Effect of Real-Time Computer-Aided Detection of Colorectal Adenoma in Routine Colonoscopy (COLO-GENIUS): A Single-Centre Randomised Controlled Trial

Karsenti, D., Tharsis, G., Perrot, B., Cattan, P., Percie du Sert, A., Venezia, F., Zrihen, E., Gillet, A., Lab, J.-P., Tordjman, G., et al. (2023) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(23)00104-8 · Cited by 62 · see citing works

Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines

Martindale, A. P. L., Llewellyn, C. D., de Visser, R. O., Ng, B., Ngai, V., Kale, A. U., di Ruffano, L. F., Golub, R. M., Collins, G. S., Moher, D., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45355-3 · Cited by 58 · see citing works

Effect of artificial intelligence on novice-performed colonoscopy: a multicenter randomized controlled tandem study

Yao, L., Li, X., Wu, Z., Wang, J., Luo, C., Chen, B., Luo, R., Zhang, L., Zhang, C., Tan, X., et al. (2023) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2023.07.044 · Cited by 56 · see citing works

The Role of Artificial Intelligence in Colorectal Cancer Screening: Lesion Detection and Lesion Characterization

Young, E., Edwards, L., & Singh, R. (2023) · Cancers · doi:10.3390/cancers15215126 · Cited by 57 · see citing works

Effect of Real-Time Computer-Aided Polyp Detection System (ENDO-AID) on Adenoma Detection in Endoscopists-in-Training: A Randomized Trial

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

A computer-aided polyp detection system in screening and surveillance colonoscopy: an international, multicentre, randomised, tandem trial

Maas, M. H. J., Neumann, H., Shirin, H., Katz, L. H., Benson, A. A., Kahloon, A., Soons, E., Hazzan, R., Landsman, M., Lebwohl, B., et al. (2024) · The Lancet Digital Health · doi:10.1016/s2589-7500(23)00242-x · Cited by 47 · see citing works

Advancing AI for multi-omics and clinical data integration in basic and translational cancer research

Liu, F., Beck, S., Yang, L., Luo, H., & Zhang, K. C. (2026) · Nature reviews. Cancer · doi:10.1038/s41568-026-00922-2 · Cited by 52 · see citing works

Artificial intelligence across the cancer care continuum

Riaz, I. B., Khan, M. A., & Osterman, T. J. (2025) · Cancer · doi:10.1002/cncr.70050 · Cited by 40 · see citing works

Artificial Intelligence in the Diagnosis and Treatment of Pancreatic Cystic Lesions and Adenocarcinoma

Jiang, J., Chao, W.-L., Culp, S., & Krishna, S. G. (2023) · Cancers · doi:10.3390/cancers15092410 · Cited by 38 · see citing works

Impact of study design on adenoma detection in the evaluation of artificial intelligence–aided colonoscopy: a systematic review and meta-analysis

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

ChatGPT4 Outperforms Endoscopists for Determination of Postcolonoscopy Rescreening and Surveillance Recommendations

Chang, P. W., Amini, M. M., Davis, R. O., Nguyen, D. D., Dodge, J. L., Lee, H., Sheibani, S., Phan, J., Buxbaum, J. L., & Sahakian, A. B. (2024) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2024.04.022 · Cited by 34 · see citing works

Impact of AI-aided colonoscopy in clinical practice: a prospective randomised controlled trial

Schöler, J., Alavanja, M., de Lange, T., Yamamoto, S., Hedenström, P., & Varkey, J. (2024) · BMJ Open Gastroenterology · doi:10.1136/bmjgast-2023-001247 · Cited by 37 · see citing works

Human–large language model collaboration in clinical medicine: a systematic review and meta-analysis

Wang, G., Zhang, K., Jiang, J., Wang, C., Bi, H., Liang, H., Qi, Z., Huang, Y., Li, Y., & Yang, X. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-02382-2 · Cited by 42 · see citing works

Enhancing human-AI collaboration: The case of colonoscopy

Introzzi, L., Zonca, J., Cabitza, F., Cherubini, P., & Reverberi, C. (2024) · Digestive and Liver Disease · doi:10.1016/j.dld.2023.10.018 · Cited by 28 · see citing works

Artificial intelligence in gastrointestinal cancers: Diagnostic, prognostic, and surgical strategies

Nagaraju, G. P., Sandhya, T., Srilatha, M., Ganji, S. P., Saddala, M. S., & El‐Rayes, B. F. (2025) · Cancer Letters · doi:10.1016/j.canlet.2025.217461 · Cited by 28 · see citing works

Optimization of colonoscopy quality: Comprehensive review of the literature and future perspectives

Hsu, W., & Chiu, H. (2023) · Digestive Endoscopy · doi:10.1111/den.14627 · Cited by 27 · see citing works

The Efficacy and Safety of Remimazolam Besylate Combined with Esketamine for Outpatient Colonoscopy: A Prospective, Randomized, Controlled Clinical Trial

Li, W., Zhao, J., Hao, R., Wang, S.-J., Chen, M., Liu, H.-J., Qi, L., & Hao, Z.-J. (2023) · Drug Design, Development and Therapy · doi:10.2147/dddt.s425860 · Cited by 19 · see citing works

A computer-aided detection system in the everyday setting of diagnostic, screening, and surveillance colonoscopy: an international, randomized trial

Maas, 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

Past, Present, and Future

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

Prevalence and implications of pKs-positive Escherichia coli in colorectal cancer

de Souza, J. B., Campos, L. A. D. A., Palácio, S. B., de Castro, M. C. A. B., & Cavalcanti, I. M. F. (2024) · Life Sciences · doi:10.1016/j.lfs.2024.122462 · Cited by 20 · see citing works

Identification of genomic alteration and prognosis using pathomics-based artificial intelligence in oral leukoplakia and head and neck squamous cell carcinoma: a multicenter experimental study

Cai, X., Peng, C.-R., Cui, Y., Li, L., Huang, M., Zhang, H., Zhang, J., & Li, T. (2024) · International Journal of Surgery · doi:10.1097/js9.0000000000002077 · Cited by 19 · see citing works

Artificial intelligence–assisted colonoscopy for adenoma and polyp detection: an updated systematic review and meta-analysis

Shiha, M. G., Oka, P., Raju, S. A., Tai, F. W. D., Ching, H., Thoufeeq, M., Sidhu, R., McAlindon, M. E., & Sanders, D. S. (2023) · iGIE · doi:10.1016/j.igie.2023.05.001 · Cited by 19 · see citing works

Construction and validation of artificial intelligence pathomics models for predicting pathological staging in colorectal cancer: Using multimodal data and clinical variables

Tan, Y., Liu, R., Xue, J., & Feng, Z. (2024) · Cancer Medicine · doi:10.1002/cam4.6947 · Cited by 19 · see citing works

The Impact of Artificial Intelligence in Improving Polyp and Adenoma Detection Rate During Colonoscopy: Systematic-Review and Meta-Analysis

Adiwinata, R., Tandarto, K., Arifputra, J., Waleleng, B. J., Gosal, F., Rotty, L., Winarta, J., Waleleng, A., Simadibrata, P., & Marcellus Simadibrata, K. (2023) · Asian Pacific Journal of Cancer Prevention · doi:10.31557/apjcp.2023.24.11.3655 · Cited by 18 · see citing works

A comprehensive RCT in screening, surveillance, and diagnostic AI-assisted colonoscopies (ACCENDO-Colo study)

Spada, C., Salvi, D., Ferrari, C., Hassan, C., Barbaro, F., Belluardo, N., Grazioli, L. M., Milluzzo, S. M., Olivari, N., Papparella, L. G., et al. (2025) · Digestive and Liver Disease · doi:10.1016/j.dld.2024.12.023 · Cited by 17 · see citing works

Withdrawal time in colonoscopy, past, present, and future, a narrative review

Haghbin, H., Zakirkhodjaev, N., & Aziz, M. (2023) · Translational Gastroenterology and Hepatology · doi:10.21037/tgh-23-8 · Cited by 17 · see citing works

Improvement of adenoma detection rate by two computer-aided colonic polyp detection systems in high adenoma detectors: a randomized multicenter trial

Tiankanon, K., Aniwan, S., Kerr, S. J., Mekritthikrai, K., Kongtab, N., Wisedopas, N., Piyachaturawat, P., Kulpatcharapong, S., Linlawan, S., Phromnil, P., et al. (2023) · Endoscopy · doi:10.1055/a-2210-7999 · Cited by 17 · see citing works

Potential application of artificial intelligence in cancer therapy

Riaz, I. B., Khan, M. A., & Haddad, T. C. (2024) · Current Opinion in Oncology · doi:10.1097/cco.0000000000001068 · Cited by 19 · 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

Automatic Quality Control System and Adenoma Detection Rates During Routine Colonoscopy

Liu, J., Zhou, R., Liu, C., Liu, H., Cui, Z., Guo, Z., Zhao, W., Zhong, X., Zhang, X., Li, J., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.57241 · Cited by 15 · see citing works

Future Implications of Artificial Intelligence in Medical Education

Bohler, F., Aggarwal, N., Peters, G., & Taranikanti, V. (2024) · Cureus · doi:10.7759/cureus.51859 · Cited by 15 · see citing works

Effects of ai-assisted colonoscopy on adenoma miss rate/adenoma detection rate: A protocol for systematic review and meta-analysis

Shao, L., Yan, X., Liu, C., Guo, C. J., & Cai, B. (2022) · Medicine · doi:10.1097/md.0000000000031945 · Cited by 15 · see citing works

Global trends and hotspots of ChatGPT in medical research: a bibliometric and visualized study

Liu, L., Qu, S., Zhao, H., Kong, L., Xie, Z., Jiang, Z., & Zou, P. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1406842 · Cited by 14 · see citing works

Artificial Intelligence in Colonoscopy

Mansour, N. (2023) · Current Gastroenterology Reports · doi:10.1007/s11894-023-00872-x · Cited by 15 · see citing works

Artificial intelligence for cancer screening and surveillance

Gentile, F., & Malara, N. (2024) · ESMO Real World Data and Digital Oncology · doi:10.1016/j.esmorw.2024.100046 · Cited by 13 · see citing works

AI meets sleep surgery: assessing drug-induced sleep endoscopy interpretation with a large language model

Hack, S., Alsleibi, S., Shemesh, S., & Nakache, G. (2025) · SLEEP · doi:10.1093/sleep/zsaf338 · Cited by 15 · see citing works

Effect of a Computer-Aided Device for Detecting Gastric Neoplasms: A Multicenter, Randomized Controlled Trial

Dong, Z., Wu, L., Du, H., Tao, X., Wang, J., Zeng, X., Zhu, Y., Tan, S., Wang, J., Deng, M., et al. (2026) · Gastroenterology · doi:10.1053/j.gastro.2025.12.020 · Cited by 13 · see citing works

The role of artificial intelligence in colonoscopy

Kim, H. J., Parsa, N., & Byrne, M. F. (2024) · Seminars in Colon and Rectal Surgery · doi:10.1016/j.scrs.2024.101007 · Cited by 15 · see citing works

Variability in computer-aided detection effect on adenoma detection rate in randomized controlled trials: A meta-regression analysis

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

AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening

Lu, R.-F., She, C.-Y., He, D.-N., Cheng, M.-Q., Wang, Y., Huang, H., Lin, Y.-D., Lv, J.-Y., Qin, S., Liu, Z.-Z., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01892-9 · Cited by 12 · see citing works

Improvement in adenoma detection rate by artificial intelligence-assisted colonoscopy: Multicenter quasi-randomized controlled trial

Lagström, R. M. B., Bräuner, K. B., Bielik, J., Rosen, A. W., Crone, J. G., Gögenür, I., & Bulut, M. (2025) · Endoscopy International Open · doi:10.1055/a-2521-5169 · Cited by 12 · see citing works

Artificial intelligence and colorectal neoplasia detection performances in patients with positive fecal immunochemical test: Meta‐analysis and systematic review

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

Evaluation efficacy and accuracy of a real-time computer-aided polyp detection system during colonoscopy: a prospective, multicentric, randomized, parallel-controlled study trial

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

Effectiveness and application of artificial intelligence for endoscopic screening of colorectal cancer: the future is now

Maida, M. F., Marasco, G., Facciorusso, A., Shahini, E., Sinagra, E., Pallio, S., Ramai, D., & Murino, A. (2023) · Expert Review of Anticancer Therapy · doi:10.1080/14737140.2023.2215436 · Cited by 11 · see citing works

Artificial intelligence for gastroenterology: Singapore artificial intelligence for Gastroenterology Working Group Position Statement

Sung, J. J. �., Savulescu, J., Ngiam, K. Y., An, B., Ang, T. L., Yeoh, K. G., Cham, T., Tsao, S. K. K., & Chua, T. (2023) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.16241 · Cited by 13 · see citing works

Innovative approaches in colorectal cancer screening: advances in detection methods and the role of artificial intelligence

Duan, C., Sheng, J.-Q., & Ma, X. (2025) · Therapeutic Advances in Gastroenterology · doi:10.1177/17562848251314829 · Cited by 12 · see citing works

Disparities in Cancer Screening Among the Foreign-Born Population in the United States: A Narrative Review

Rosowicz, A., & Hewitt, D. B. (2025) · Cancers · doi:10.3390/cancers17040576 · 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

Evaluating false‐positive detection in a computer‐aided detection system for colonoscopy

Okumura, T., Imai, K., Misawa, M., Kudo, S., Hotta, K., Ito, S., Kishida, Y., Takada, K., Kawata, N., Maeda, Y. K., et al. (2024) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.16491 · Cited by 11 · see citing works

Effectiveness of artificial intelligence-assisted colonoscopy in detecting and diagnosing colorectal tumors: a systematic review and network meta-analysis

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

No Effect of Computer-Aided Diagnosis on Colonoscopic Adenoma Detection in a Large Pragmatic Multicenter Randomized Study

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

Effects of artificial intelligence assistance on endoscopist performance: Comparison of diagnostic performance in superficial esophageal squamous cell carcinoma detection using video‐based models

Aoyama, N., Nakajo, K., Sasabe, M., Inaba, A., Nakanishi, Y., Seno, H., & Yano, T. (2025) · DEN Open · doi:10.1002/deo2.70083 · Cited by 10 · see citing works

Navigating the “Trough of Disillusionment” for CADe Polyp Detection: What Can We Learn About Negative AI Trials and the Physician-AI Hybrid?

Berzin, T. M., & Glissen Brown, J. (2023) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002286 · Cited by 10 · see citing works

The application of the combination between artificial intelligence and endoscopy in gastrointestinal tumors

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

The implementation of computer-aided detection in an initial endoscopy training improves the quality measures of trainees’ future colonoscopies: a retrospective cohort study

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

Effect of Computer‐Aided Detection During Colonoscopy on Adenoma Detection Rate in a Community Hospital Setting: Randomized Controlled Trial

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

Effect of 3-Dimensional Imaging Device on Polyp and Adenoma Detection During Colonoscopy: A Randomized Controlled Trial

Sun, X., Zhang, Q., Wu, S., Xu, C., Zhang, Y., Hao, X., Meng, Y., Jiao, Y., Li, H., Zhu, S., et al. (2023) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002396 · Cited by 9 · see citing works

Advancing Colorectal Cancer Screening: A Comprehensive Systematic Review of Artificial Intelligence (AI)-Assisted Versus Routine Colonoscopy

Thomas, J., Ravichandran, R., Nag, A., Gupta, L., Singh, M., & Panjiyar, B. K. (2023) · Cureus · doi:10.7759/cureus.45278 · Cited by 8 · see citing works

An Integrated Algorithm with Feature Selection, Data Augmentation, and XGBoost for Ovarian Cancer

Cai, J., Lee, Z.-J., Lin, Z., Hsu, C.-H., & Lin, Y. (2024) · Mathematics · doi:10.3390/math12244041 · Cited by 9 · see citing works

Artificial intelligence in endoscopy and colonoscopy: a comprehensive bibliometric analysis of global research trends

Letafatkar, N., El‐Sehrawy, A. A. M. A., Prasad, K., Alkhayyat, A., Amini‐Salehi, E., Hasanpour, M., Namdar, M., Hashemi, M., Alotaibi, H., Rashidian, P., et al. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1532640 · Cited by 10 · see citing works

Concordance with CONSORT-AI guidelines in reporting of randomised controlled trials investigating artificial intelligence in oncology: a systematic review

Chen, D. C., Arnold, K., Sukhdeo, R., Alla, J. F., & Raman, S. (2025) · BMJ Oncology · doi:10.1136/bmjonc-2025-000733 · Cited by 13 · see citing works

The Cost-Effectiveness of AI-Assisted Colonoscopy as a Primary or Secondary Screening Test in a Population-Based Colorectal Cancer Screening Program: Markov Modeling–Based Cost Effectiveness Analysis

Wong, M. C. S., Huang, J., Lam, T. Y. T., Lau, L. H. S., & Chiu, P. W. Y. (2025) · Journal of Medical Internet Research · doi:10.2196/67762 · Cited by 8 · 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

Tumor cell- and infiltrating immune cell-based supervised learning artificial intelligence multimodal platform for tumor prognosis

Cai, X., Peng, C.-R., Ding, C.-Y., Cui, Y., Gao, L., Xu, Z., Li, L., Zhang, J., & Li, T. (2025) · npj Precision Oncology · doi:10.1038/s41698-025-01125-y · Cited by 9 · see citing works

Intelligent graphene–silver–gold terahertz metasurface biosensor for glucose and colorectal cancer screening and early detection using 1D-CNN-enhanced modeling

Ali, S. A., Kokila, S., Alagarsamy, M., & Kumar, U. A. (2026) · Microsystem Technologies · doi:10.1007/s00542-026-06030-3 · Cited by 8 · see citing works

Comparative Performance of Artificial Intelligence‐Based Computer‐Aided Detection Systems for Colorectal Polyps: A Systematic Review and Network Meta‐Analysis

Shinozaki, S., Watanabe, J., Kanno, T., Nakazawa, K., & Yano, T. (2026) · Digestive Endoscopy · doi:10.1111/den.70138 · Cited by 8 · see citing works

GI Genius increases small and right-sided adenoma and sessile serrated lesion detection rate when used with EndoCuff in a real-world setting: a retrospective United States study

Kim, J. H., Wang, J., Pence, C., Magahis, P. T., Dawod, E., Schnoll‐Sussman, F. H., Sharaiha, R. Z., & Wan, D. W. (2025) · Clinical Endoscopy · doi:10.5946/ce.2024.271 · Cited by 8 · see citing works

Comparison of the Ability of Artificial-Intelligence-Based Computer-Aided Detection (CAD) Systems and Endoscopists to Detect Colorectal Neoplastic Lesions on Endoscopy Video

Misumi, Y., Nonaka, K., Takeuchi, M., Kamitani, Y., Uechi, Y., Watanabe, M., Kishino, M., Omori, T., Yonezawa, M., Isomoto, H., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12144840 · Cited by 8 · see citing works

Artificial intelligence in clinical oncology: Multimodal integration and translational development

Lin, R., Zhao, Z., Liu, Z., Kang, J., Zhang, K., Huang, X., & Yu, Y. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218493 · Cited by 7 · see citing works

Learning and deskilling effects of artificial intelligence in colonoscopy among endoscopists with different levels of experience: a pragmatic, prospective trial

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

Recent advances in devices and technologies that might prove revolutionary for colonoscopy procedures

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

Artificial Intelligence in Coloproctology: A Review of Emerging Technologies and Clinical Applications

Mota, J., Almeida, M. J., Martins, M., Mendes, F., Cardoso, P., Afonso, J. P. L., Ribeiro, T., Ferreira, J. P. S., Fonseca, F., Limbert, M., et al. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13195842 · Cited by 7 · see citing works

The Effect of Computer‐Aided Device on Adenoma Detection Rate in Different Implement Scenarios: A Real‐World Study

Zhang, C., Tao, X., Pan, J., Huang, L., Dong, Z., Lin, J., Su, H. W., Zhu, Y., Du, H., Xiao, B., et al. (2024) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.16847 · Cited by 7 · see citing works

Provider Attitudes and Perceptions on Using Artificial Intelligence in Colonoscopy: A Systematic Review and Meta-Analysis

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

Determinants of Chromatin Organization in Aging and Cancer—Emerging Opportunities for Epigenetic Therapies and AI Technology

CASTILHO, R. M., Castilho, L. S., Palomares, B. H., & SQUARIZE, C. H. (2024) · Genes · doi:10.3390/genes15060710 · Cited by 6 · see citing works

Video recording in GI endoscopy

Bazerbachi, F., Murad, F., Kubiliun, N. M., Adams, M. A., Shahidi, N. C., Visrodia, K., Essex, E. A., Raju, G. S., Greenberg, C. C., Day, L. W., et al. (2025) · VideoGIE · doi:10.1016/j.vgie.2024.09.013 · Cited by 5 · see citing works

Advances in colorectal cancer screening: technological innovations, guideline discrepancies, and individualized strategies

Tang, L., Zhao, X., Wang, G., Huang, J., Zhang, M., & Xu, W. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1723546 · Cited by 5 · see citing works

Diagnostic Potential of Exosomes in Colorectal Cancer: Current Advances and Future Perspectives

Suska, K., Piotrowski, M., Jacenik, D., & Fichna, J. (2026) · Molecules · doi:10.3390/molecules31081339 · Cited by 5 · see citing works

Long-term impact of artificial intelligence on colorectal adenoma detection in high-risk colonoscopy

Chow, K. W., Bell, M. T., Cumpian, N. A., Amour, M., Hsu, R. H., Eysselein, V. E., Srivastava, N., Fleischman, M. W., & Reicher, S. (2024) · World Journal of Gastrointestinal Endoscopy · doi:10.4253/wjge.v16.i6.335 · Cited by 5 · see citing works

Artificial intelligence and the push for small adenomas: all we need?

Zimmermann‐Fraedrich, K., & Rösch, T. (2023) · Endoscopy · doi:10.1055/a-2038-7078 · Cited by 5 · see citing works

AI-based algorithm for clinical decision support system in colonoscopy

Мтвралашвили, Д. А., Шахматов, Д. Г., Ликутов, А. А., Zapolskiy, A. G., Suslova, D. I., Borodinov, A. A., Sushkov, O. I., & Иванович, А. С. (2023) · Koloproktologia · doi:10.33878/2073-7556-2023-22-2-92-102 · Cited by 5 · see citing works

The 2023 top 10 list of endoscopy topics in medical publishing: an annual review by the American Society for Gastrointestinal Endoscopy Editorial Board

Martínez, M., Bartel, M. J., Chua, T. Y., Dakhoul, L., Fatima, H., Jensen, D., Lara, L. F., Tadros, M., Villa, E. C., Yang, D. J., et al. (2024) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2024.05.002 · Cited by 5 · see citing works

Artificial Intelligence in Colonoscopy: A Systematic Review of Adenoma Versus Polyp Detection Rates

Rabba, W., Asif, F., Younis, M. Y., Nasrullah, H., Fatima, L., & Arif, M. A. (2025) · Cureus · doi:10.7759/cureus.98528 · Cited by 6 · see citing works

Validation of Artificial Intelligence Computer-Aided Detection of Colonic Neoplasm in Colonoscopy

Lee, H., Chung, J., Kim, K. O., Kwon, K. A., Kim, J. H., Yun, S.-C., Jung, S. W., Sheeraz, A., Yoon, Y. J., Kim, J. H., et al. (2024) · Diagnostics · doi:10.3390/diagnostics14232762 · Cited by 4 · see citing works

Vendor‐Agnostic Vision Transformer‐Based Artificial Intelligence for Peroral Cholangioscopy: Diagnostic Performance in Biliary Strictures Compared With Convolutional Neural Networks and Endoscopists

Sato, R., Matsumoto, K., Tomiya, M., Tanimoto, T., Ohto, A., Oki, K., Kajitani, S., Kikuchi, T., Matsumi, A., Miyamoto, K., et al. (2025) · Digestive Endoscopy · doi:10.1111/den.70028 · Cited by 4 · see citing works

S0527 Artificial Intelligence (AI)-Guided vs Routine Colonoscopy for Colorectal Polyps: A Meta-Analysis of Recent Randomized Controlled Trials

Deliwala, S. S., Hamid, K. A., Barbarawi, M., Zayed, Y., Kandel, P., Lakshman, H. G., Malladi, S., Singh, A., Bachuwa, G. I., Gurvits, G. E., et al. (2020) · The American Journal of Gastroenterology · doi:10.14309/01.ajg.0000704156.33714.ab

Enhancing colonoscopy outcomes: A systematic review and meta-analysis of randomized controlled trials evaluating artificial intelligence–assisted adenoma and polyp detection.

Sharma, A., Shakeel, R., Wazir, H. U., Tummala, N. C., Hasnain, U., Arshad, A., Daid, S. S., Zulfiqar, A., Javed, R., Munir, A., et al. (2026) · Journal of Clinical Oncology · doi:10.1200/jco.2026.44.16_suppl.e15519

Artificial intelligence (AI) real-time detection vs. routine colonoscopy for colorectal neoplasia: a meta-analysis and trial sequential analysis

Deliwala, S. S., Hamid, K. A., Barbarawi, M., Lakshman, H. G., Zayed, Y., Kandel, P., Malladi, S., Singh, A., Bachuwa, G. I., Gurvits, G. E., et al. (2021) · International Journal of Colorectal Disease · doi:10.1007/s00384-021-03929-3 · Cited by 51 · see citing works

Artificial intelligence‐assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection

Xu, L., He, X., Zhou, J., Zhang, J., Mao, X., Ye, G., Chen, Q., Xu, F., Sang, J., Wang, J., et al. (2021) · Cancer Medicine · doi:10.1002/cam4.4261 · Cited by 60 · see citing works

Improvement in adenoma detection rate by artificial intelligence-assisted colonoscopy: Multicenter quasi-randomized controlled trial

Lagström, R. M. B., Bräuner, K. B., Bielik, J., Rosen, A. W., Crone, J. G., Gögenür, I., & Bulut, M. (2025) · Endoscopy International Open · doi:10.1055/a-2521-5169 · Cited by 12 · see citing works