BPG is committed to discovery and dissemination of knowledge
Articles Published Processes Featured Articles Journals Submit a Manuscript
Cited by in CrossRef
For: Taghiakbari M, Mori Y, von Renteln D. Artificial intelligence-assisted colonoscopy: A review of current state of practice and research. World J Gastroenterol 2021; 27(47): 8103-8122 [PMID: 35068857 DOI: 10.3748/wjg.v27.i47.8103]
URL: https://www.wjgnet.com/1007-9327/full/v27/i47/8103.htm
(254) (252) (0) (0) (6) (10600) (63)
Number Citing Articles
1
Wing Yin Ng, Yehui Li, Tianle Pan, Yichong Sun, Qi Dou, Pheng Ann Heng, Philip Wai Yan Chiu, Zheng Li. A Simultaneous Polyp and Lumen Detection Framework Toward Autonomous Robotic Colonoscopy. IEEE Transactions on Medical Robotics and Bionics 2024; 6(1) doi: 10.1109/TMRB.2024.3349623
2
Abdulrahman Soliman, Elias Yaacoub, Mohamed Mabrok, Nikhil V. Navkar, Momen Abayazid, Amr Mohamed. Real-Time Colonic Disease Diagnosis with DRL Low Latency Assistive Control. 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA) 2024;  doi: 10.1109/MeMeA60663.2024.10596912
3
Felix Huang, Victoire Michal, Roupen Djinbachian, Megan Oleksiw, Douglas K. Rex, Robert Battat, Erik Deslandres, Mickael Bouin, Jeremy Liu Chen Kiow, Benoit Panzini, Simon Bouchard, Dane Christina Daoud, Edmond Jean Bernard, Katarzyna Orlicka, Raymond Leduc, Louise D'Aoust, Daniel von Renteln. Computer-Aided Colonoscopy Alert Fatigue and Its Effect on Adenoma Detection. American Journal of Gastroenterology 2026; 121(4) doi: 10.14309/ajg.0000000000003955
4
Gabrielle E. Koh, Brittany Ng, Ronja M.B. Lagström, Fung-Joon Foo, Shuen-Ern Chin, Fang-Ting Wan, Juinn Huar Kam, Baldwin Yeung, Clarence Kwan, Cesare Hassan, Ismail Gögenur, Frederick H. Koh. Real-World Assessment of the Efficacy of Computer-Assisted Diagnosis in Colonoscopy: A Single Institution Cohort Study in Singapore. Mayo Clinic Proceedings: Digital Health 2024; 2(4) doi: 10.1016/j.mcpdig.2024.10.002
5
Radu Alexandru Vulpoi, Mihaela Luca, Adrian Ciobanu, Andrei Olteanu, Oana Bărboi, Diana-Elena Iov, Loredana Nichita, Irina Ciortescu, Cristina Cijevschi Prelipcean, Gabriela Ștefănescu, Cătălina Mihai, Vasile Liviu Drug. The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management. Diagnostics 2023; 13(21) doi: 10.3390/diagnostics13213336
6
Shivaraj Afzalpurkar, Mahesh K. Goenka, Rakesh Kochhar. Impact of Artificial Intelligence on Colorectal Polyp Detection and Characterization. Journal of Digestive Endoscopy 2023; 14(04) doi: 10.1055/s-0043-1777330
7
Joel Shor, Carson McNeil, Yotam Intrator, Joseph R. Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg. Predicting the generalization of computer aided detection (CADe) models for colonoscopy. Discover Artificial Intelligence 2024; 4(1) doi: 10.1007/s44163-024-00187-4
8
François Chadebecq, Laurence B. Lovat, Danail Stoyanov. Artificial intelligence and automation in endoscopy and surgery. Nature Reviews Gastroenterology & Hepatology 2023; 20(3) doi: 10.1038/s41575-022-00701-y
9
Aashna Mehta, Wireko Andrew Awuah, Sucharu Asri, Muhammad Jawad Zahid, Jyi Cheng Ng, Heli Patel, Helen Huang, Katherine Candelario, Ayush Anand, Toufik-Abdul Rahman, Vladyslav Sikora, Arda Isik. Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare. Advances in Computing Communications and Informatics 2024; 7 doi: 10.2174/9789815165432124070008
10
Marcio Roberto FACANALI JUNIOR, Afonso Henrique da Silva SOUSA JUNIOR, Carlos Frederico Sparapan MARQUES, Adriana Vaz SAFATLE-RIBEIRO. Artificial intelligence-assisted colonoscopy for colorectal lesion detection: a case-control study on diagnostic accuracy and histopathological agreement. ABCD. Arquivos Brasileiros de Cirurgia Digestiva (São Paulo) 2025; 38 doi: 10.1590/0102-67202025000029e1898
11
Michael Heinlein. Artificial Intelligence and the Clinical Gaze: Visual Practices of AI‐Assisted Colonoscopy. Sociology of Health & Illness 2026; 48(1) doi: 10.1111/1467-9566.70144
12
Nahla Azzam, Majid Almadi, Mansour Altuwaijiri, Othman Alharbi, Abdulrahman Aljebreen, Suliman Alshankiti, Yazed Alruthia. Cost-Consequence Analysis of Colon Cancer Screening among Patients with Long-Standing Ulcerative Colitis: 11 Years’ Experience of Saudi Population. Saudi Pharmaceutical Journal 2023; 31(12) doi: 10.1016/j.jsps.2023.101883
13
Kaiser O'Sahil Sadiq. Embracing change: The potential of artificial intelligence in transforming surgical practice. The Surgeon 2025; 23(1) doi: 10.1016/j.surge.2025.01.002
14
Britt B. S. L. Houwen, Yark Hazewinkel, Ioannis Giotis, Jasper L. A. Vleugels, Nahid S. Mostafavi, Paul van Putten, Paul Fockens, Evelien Dekker. Computer-aided diagnosis for optical diagnosis of diminutive colorectal polyps including sessile serrated lesions: a real-time comparison with screening endoscopists. Endoscopy 2023; 55(08) doi: 10.1055/a-2009-3990
15
Ge-Peng Ji, Jingyi Liu, Peng Xu, Nick Barnes, Fahad Shahbaz Khan, Salman Khan, Deng-Ping Fan. Frontiers in Intelligent Colonoscopy. Machine Intelligence Research 2026; 23(1) doi: 10.1007/s11633-025-1597-6
16
Fujia Guo, Hua Meng. Application of artificial intelligence in gastrointestinal endoscopy. Arab Journal of Gastroenterology 2024; 25(2) doi: 10.1016/j.ajg.2023.12.010
17
Stefania Ferrari, Silvia Negro, Francesco Celotto, Quoc Riccardo Bao, Giovanni Madeo, Alessandra Pulvirenti, Gaya Spolverato. Artificial intelligence for post-polypectomy surveillance: a scoping review of emerging tools in colorectal cancer prevention. Artificial Intelligence Surgery 2025; 5(4) doi: 10.20517/ais.2025.65
18
Md. Faysal Ahamed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md. Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury. IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. Sensors 2023; 23(18) doi: 10.3390/s23187724
19
Radu Alexandru Vulpoi, Adrian Ciobanu, Vasile Liviu Drug, Catalina Mihai, Oana Bogdana Barboi, Diana Elena Floria, Alexandru Ionut Coseru, Andrei Olteanu, Vadim Rosca, Mihaela Luca. Deep Learning-Based Semantic Segmentation for Objective Colonoscopy Quality Assessment. Journal of Imaging 2025; 11(3) doi: 10.3390/jimaging11030084
20
Delphine Dubois, Yousr Jalal, Heiko Pohl, Douglas K Rex, Cesare Hassan, Roupen Djinbachian, Megan Oleksiw, Victoire Michal, Daniel von Renteln. Human–machine interaction in optical polyp diagnosis: decision-making after CADx polyp diagnosis. Journal of the Canadian Association of Gastroenterology 2026;  doi: 10.1093/jcag/gwag016
21
Dalia Braverman-Jaiven, Luigi Manfredi. Advancements in the use of AI in the diagnosis and management of inflammatory bowel disease. Frontiers in Robotics and AI 2024; 11 doi: 10.3389/frobt.2024.1453194
22
Ori Kelner, Or Weinstein, Ehud Rivlin, Roman Goldenberg. Semantic Parsing of Colonoscopy Videos with Multi-Label Temporal Networks. 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2023;  doi: 10.1109/ICCVW60793.2023.00274
23
F. N. U. Eman, F. N. U. Gyaneshwari, Raveena Kumari, Afshan Jabeen, Karoona Kumari, F. N. U. Mansha, Shagufta Sattar, Fatima Zehra, Sonika Hotwani, Muhammad Talha Kakar, Hira Riaz. Artificial Intelligence–Driven Colonoscopy: A Systematic Review and Network Meta‐Analysis on System Performance for Colorectal Neoplasia Detection. JGH Open 2026; 10(3) doi: 10.1002/jgh3.70372
24
Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, Rüdiger Pryss. How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare. Artificial Intelligence in Medicine 2023; 143 doi: 10.1016/j.artmed.2023.102616
25
Alka Yadav, Ashok Kumar. Artificial intelligence in rectal cancer: What is the future?. Artificial Intelligence in Cancer 2023; 4(2): 11-22 doi: 10.35713/aic.v4.i2.11
26
Dumitru-Dragos Chitca, Valentin Popescu, Anca Dumitrescu, Cristian Botezatu, Bogdan Mastalier. Advancing Colorectal Cancer Diagnostics from Barium Enema to AI-Assisted Colonoscopy. Diagnostics 2025; 15(8) doi: 10.3390/diagnostics15080974
27
Min Li, Min Xu. From Identification to Intervention: Advancing Ethical Governance for AI Bias in Gastroenterology. Gastroenterology 2026; 170(3) doi: 10.1053/j.gastro.2025.06.034
28
Sunny Kumar, Mahveer Maheshwari, Shahnoor Aleem, Zoha Batool, Nawal Alsubaie, Saifullah Syed, Nida Fatima Daterdiwala, Hina Fatima Memon, Jaweria Azeem, Sajida Moiz Hussain Qamari, Mohammad Jawwad. Novel Artificial Intelligence Systems in Detecting Adenomas in Colonoscopy: A Systemic Review and Network Meta-Analysis. Clinical and Translational Gastroenterology 2025; 16(10) doi: 10.14309/ctg.0000000000000904
29
Raheela Rafi, Nida Yasmin, Mubashir Ghani, Muhammad Nameer Siddiqui, Abdul Rafay Mahmood, Sarmad Ali, Amina Khalid, Kinza Masroor Khanzada, Tooba Idrees, Muhammad Huzaifa, Hira Riaz. Performance of artificial intelligence software: EndoAngel, EndoAID, CAD-EYE, GI Genius, and EndoScreener in adenoma detection: an extended network meta-analysis. European Journal of Gastroenterology & Hepatology 2026; 38(6) doi: 10.1097/MEG.0000000000003179
30
Michelle C.M. Lee, Colleen H. Parker, Louis W.C. Liu, Armin Farahvash, Thurarshen Jeyalingam. Impact of study design on adenoma detection in the evaluation of artificial intelligence–aided colonoscopy: a systematic review and meta-analysis. Gastrointestinal Endoscopy 2024; 99(5) doi: 10.1016/j.gie.2024.01.021
31
D. I. Suslova. Modern approaches to informatization of the endoscopic department in screening programs for colorectal cancer and more. Filin’s Clinical endoscopy 2025; 67(1) doi: 10.31146/2415-7813-endo-67-1-70-76
32
Andrea Cherubini, Nhan Ngo Dinh. A Review of the Technology, Training, and Assessment Methods for the First Real-Time AI-Enhanced Medical Device for Endoscopy. Bioengineering 2023; 10(4) doi: 10.3390/bioengineering10040404
33
Raveena Karthikeyan, Kristin Delfino, Bridget Mcclain, Sowmyanarayanan Thuppal, V Prasad Poola. Artificial Intelligence in Colonoscopy: A Tool, Not a Necessity for Experts. Cureus 2025;  doi: 10.7759/cureus.93046
34
Radu-Alexandru Vulpoi, Mihaela Luca, Adrian Ciobanu, Andrei Olteanu, Oana-Bogdana Barboi, Vasile Liviu Drug. Artificial Intelligence in Digestive Endoscopy—Where Are We and Where Are We Going?. Diagnostics 2022; 12(4) doi: 10.3390/diagnostics12040927
35
Noah C. Helderman, Monique E. van Leerdam, Matthias Kloor, Aysel Ahadova, Maartje Nielsen. Emerge of colorectal cancer in Lynch syndrome despite colonoscopy surveillance: A challenge of hide and seek. Critical Reviews in Oncology/Hematology 2024; 197 doi: 10.1016/j.critrevonc.2024.104331
36
Zitong Wang, Zeyi Wang, Pengyu Sun. Deep learning model for gastrointestinal polyp segmentation. PeerJ Computer Science 2025; 11 doi: 10.7717/peerj-cs.2924
37
Arif A. Arif, Shirley X. Jiang, Michael F. Byrne. Artificial intelligence in endoscopy: Overview, applications, and future directions. Saudi Journal of Gastroenterology 2023; 29(5) doi: 10.4103/sjg.sjg_286_23
38
Kanan Yusif-Zada, Sevinj Iskandarova. Artificial Intelligence Policy and Regulation in Medicine: Navigating the Promise and Challenges. 2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT) 2023;  doi: 10.1109/GCAIoT61060.2023.10385130
39
Si-Yu Sun, Xiang Liu, Shi-Wei Li. Advances in endoscopic diagnosis and management of colorectal cancer. World Journal of Gastrointestinal Oncology 2024; 16(10): 4045-4051 doi: 10.4251/wjgo.v16.i10.4045
40
Anthony Yuen Bun Teoh. Will robots take over our jobs as endoscopists?. Gastrointestinal Endoscopy 2022; 96(1) doi: 10.1016/j.gie.2022.03.012
41
Daniel von Renteln, Michael F Byrne, Clarence Wong, Charles Menard, Fergal Donnellan, Alan Barkun. Implementation of Artificial Intelligence-Assisted Endoscopy Across Canada—The CAG Artificial Intelligence Special Interest Group. Journal of the Canadian Association of Gastroenterology 2023; 6(1) doi: 10.1093/jcag/gwac030
42
Jorge Mateo, Ana María Torres, Félix González-Martínez, Raquel Martínez, Miguel Suarez. Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges. World Journal of Hepatology 2026; 18(2): 114834 doi: 10.4254/wjh.v18.i2.114834
43
Yijie Ku, Hui Ding, Guangzhi Wang. 9th European Medical and Biological Engineering Conference. IFMBE Proceedings 2024; 113 doi: 10.1007/978-3-031-61628-0_1
44
Olga Brusnic, Adrian Boicean, Cristian Ichim, Paula Anderco, Danusia Onisor. Artificial Intelligence in Gastrointestinal Endoscopy and Hemostatic Decision-Making: Current Evidence, Clinical Implications and Implementation Barriers. Life 2026; 16(5) doi: 10.3390/life16050845
45
Jiawei Bai, Kai Liu, Li Gao, Xin Zhao, Shaohua Zhu, Ying Han, Zhiguo Liu. Computer-aided diagnosis in predicting the invasion depth of early colorectal cancer: a systematic review and meta-analysis of diagnostic test accuracy. Surgical Endoscopy 2023; 37(9) doi: 10.1007/s00464-023-10223-6
46
Mahsa Taghiakbari, Diana Elena Coman, Mark Takla, Alan Barkun, Mickael Bouin, Simon Bouchard, Eric Deslandres, Sacha Sidani, Daniel von Renteln. Measuring the observer (Hawthorne) effect on adenoma detection rates. Endoscopy International Open 2023; 11(09) doi: 10.1055/a-2131-4797
47
Shashank Girepunje, Pradeep Singh. High Performance Computing, Smart Devices and Networks. Lecture Notes in Electrical Engineering 2024; 1262 doi: 10.1007/978-981-97-7794-5_22
48
Keisuke Hata, Toshihiro Nishizawa, Osamu Toyoshima. Topic highlight on texture and color enhancement imaging in gastrointestinal diseases. World Journal of Gastroenterology 2024; 30(14): 1934-1940 doi: 10.3748/wjg.v30.i14.1934
49
Sameena Pathan, Yashodhara Somayaji, Tanweer Ali, Modha Varsha. ContourNet—An Automated Segmentation Framework for Detection of Colonic Polyps. IEEE Access 2024; 12 doi: 10.1109/ACCESS.2024.3392947
50
George Hanen, Hazem E. Mohammed, Mohamed Nasser, Mohamed E. Haseeb, Hatem Yaser, Shehab Yaser, Salma Allam. Optimizing surveillance in Lynch syndrome: lesion detection and comparative performance of different colonoscopy modalities—a systematic review and network meta-analysis. International Journal of Colorectal Disease 2025; 40(1) doi: 10.1007/s00384-025-04970-2
51
Gaayathri Kumarasamy, Nurul Hakimah Mohd Salim, Nur Syafiqah Mohd Afandi, Mohd Afiq Hazlami Habib, Nor Datiakma Mat Amin, Mohd Nazri Ismail, Marahaini Musa. Glycoproteomics-Based Liquid Biopsy: Translational Outlook for Colorectal Cancer Clinical Management in Southeast Asia. Future Oncology 2023; 19(34) doi: 10.2217/fon-2023-0704
52
Ka Luen Thomas Lui, Sze Hang Kevin Liu, Kathy Leung, Joseph T Wu, Ann G Zauber, Wai Keung Leung. The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study. Journal of Medical Internet Research 2023; 25 doi: 10.2196/42665
53
Sofia A. Athanasiou, Eleftheria S. Sergaki, Andreas A. Polydorou, Alexios A. Polydorou, George S. Stavrakakis, Nikolaos M. Afentakis, Ioannis O. Vardiambasis, Michail E. Zervakis. Revealing the Boundaries of Selected Gastro-Intestinal (GI) Organs by Implementing CNNs in Endoscopic Capsule Images. Diagnostics 2023; 13(5) doi: 10.3390/diagnostics13050865
54
Mihaela Luca, Adrian Ciobanu, Radu-Alexandru Vulpoi, Vasile Liviu Drug. Recent Advances in Technology Research and Education. Lecture Notes in Networks and Systems 2024; 939 doi: 10.1007/978-3-031-54450-7_32
55
Chia-Yu Lai, Jen Yu, Chieh Lee, Guan-Yu Wang, Shania Andea Perdana, Tsung-Hsing Chen, Ta-Sen Yeh. Shall You Get an Invasive Examination? An AI-Driven Risk Stratification Model for Individuals with Suboptimal Health Status. Service Science 2026;  doi: 10.1287/serv.2025.0067
56
Carlo Reverberi, Tommaso Rigon, Aldo Solari, Cesare Hassan, Paolo Cherubini, Giulio Antonelli, Halim Awadie, Sebastian Bernhofer, Sabela Carballal, Mário Dinis-Ribeiro, Agnès Fernández-Clotett, Glòria Fernández Esparrach, Ian Gralnek, Yuta Higasa, Taku Hirabayashi, Tatsuki Hirai, Mineo Iwatate, Miki Kawano, Markus Mader, Andreas Maieron, Sebastian Mattes, Tastuya Nakai, Ingrid Ordas, Raquel Ortigão, Oswaldo Ortiz Zúñiga, Maria Pellisé, Cláudia Pinto, Florian Riedl, Ariadna Sánchez, Emanuel Steiner, Yukari Tanaka, Andrea Cherubini. Experimental evidence of effective human–AI collaboration in medical decision-making. Scientific Reports 2022; 12(1) doi: 10.1038/s41598-022-18751-2
57
C. Robles-Medranda, C. Cifuentes-Gordillo, M. Arevalo-Mora, M. Egas-Izquierdo, M. Puga-Tejada, D. Cunto, J. Alcivar-Vasquez, R. Del Valle, H. Alvarado-Escobar, H. Pitanga-Lukashok, J. Baquerizo-Burgos, D. Tabacelia. Real-Time Computer-Aided Polyp and Adenoma Detection During Screening Colonoscopy In Expert And Non-Expert Endoscopists: A Single Center Study. Endoscopy 2023; 55(S 02) doi: 10.1055/s-0043-1765620
58
Nikhil Bush, Mouen Khashab, Venkata S. Akshintala. Current and Emerging Applications of Artificial Intelligence (AI) in the Management of Pancreatobiliary (PB) disorders. Current Gastroenterology Reports 2024; 26(11) doi: 10.1007/s11894-024-00942-8
59
Cem Simsek, Hung Leng Kaan, Hiroyuki Aihara. Future Directions for Robotic Endoscopy–Artificial Intelligence (AI), Three-Dimensional (3D) Imaging, and Natural Orifice Transluminal Endoscopic Surgery (NOTES). Techniques and Innovations in Gastrointestinal Endoscopy 2023; 25(1) doi: 10.1016/j.tige.2022.10.001
60
Muhammad Fawad Aslam, Shehar Bano, Mariam Khalid, Zouina Sarfraz, Azza Sarfraz, Muzna Sarfraz, Karla Robles-Velasco, Miguel Felix, Kitson Deane, Ivan Cherrez-Ojeda. The effectiveness of real-time computer-aided and quality control systems in colorectal adenoma and polyp detection during colonoscopies: a meta-analysis. Annals of Medicine & Surgery 2023; 85(2) doi: 10.1097/MS9.0000000000000079
61
Franz Ludwig Dumoulin, Katharina Scheyda-Yoo. Therapie-Handbuch - Gastroenterologie und Hepatologie. 2024;  doi: 10.1016/B978-3-437-21005-1.00077-9
62
Mahsa Taghiakbari, Sina Hamidi Ghalehjegh, Emmanuel Jehanno, Tess Berthier, Lisa di Jorio, Saber Ghadakzadeh, Alan Barkun, Mark Takla, Mickael Bouin, Eric Deslandres, Simon Bouchard, Sacha Sidani, Yoshua Bengio, Daniel von Renteln. Automated Detection of Anatomical Landmarks During Colonoscopy Using a Deep Learning Model. Journal of the Canadian Association of Gastroenterology 2023; 6(4) doi: 10.1093/jcag/gwad017
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.