BPG is committed to discovery and dissemination of knowledge
Home / Archive / Volume 27, Issue 47
This Article
Academic Content and Language Evaluation of This Article
Academic Rules and Norms of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
  • Total Article Views (12027)
All Articles published online
The chart showing PDF series, WORD series, HTML series, Figures (1-2) series, Tables (1-4) series.
Item 
Count 
PDF674
WORD273
HTML6700
Figures (1-2)523
Tables (1-4)1003
 Sum=9173
Featured Article
The chart showing Browse series, Download series.
Item 
Count 
Browse337
Download675
 Sum=1012
Publishing Process of This Article
The chart showing Browse series, Download series.
Item 
Count 
Browse620
Download1222
 Sum=1842
Dec 21, 2021 (publication date) through Jul 11, 2025
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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
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): 163 doi: 10.1109/TMRB.2024.3349623
2
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): 974 doi: 10.3390/diagnostics15080974
3
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; : 1 doi: 10.1109/MeMeA60663.2024.10596912
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): 647 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): 3336 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): 221 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
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): 676 doi: 10.1016/j.gie.2024.01.021
9
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): 70 doi: 10.31146/2415-7813-endo-67-1-70-76
10
François Chadebecq, Laurence B. Lovat, Danail Stoyanov. Artificial intelligence and automation in endoscopy and surgery. Nature Reviews Gastroenterology & Hepatology 2023; 20(3): 171 doi: 10.1038/s41575-022-00701-y
11
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): 404 doi: 10.3390/bioengineering10040404
12
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): 927 doi: 10.3390/diagnostics12040927
13
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: 104331 doi: 10.1016/j.critrevonc.2024.104331
14
Zitong Wang, Zeyi Wang, Pengyu Sun. Deep learning model for gastrointestinal polyp segmentation. PeerJ Computer Science 2025; 11: e2924 doi: 10.7717/peerj-cs.2924
15
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): 269 doi: 10.4103/sjg.sjg_286_23
16
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: 111 doi: 10.2174/9789815165432124070008
17
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; : 191 doi: 10.1109/GCAIoT61060.2023.10385130
18
Shi-Wei Li, Xiang Liu, Si-Yu Sun. 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
19
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): 101883 doi: 10.1016/j.jsps.2023.101883
20
Kaiser O'Sahil Sadiq. Embracing change: The potential of artificial intelligence in transforming surgical practice. The Surgeon 2025; 23(1): e44 doi: 10.1016/j.surge.2025.01.002
21
Anthony Yuen Bun Teoh. Will robots take over our jobs as endoscopists?. Gastrointestinal Endoscopy 2022; 96(1): 148 doi: 10.1016/j.gie.2022.03.012
22
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): 5 doi: 10.1093/jcag/gwac030
23
Yijie Ku, Hui Ding, Guangzhi Wang. 9th European Medical and Biological Engineering Conference. IFMBE Proceedings 2024; 113: 1 doi: 10.1007/978-3-031-61628-0_1
24
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): 756 doi: 10.1055/a-2009-3990
25
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): 6627 doi: 10.1007/s00464-023-10223-6
26
Fujia Guo, Hua Meng. Application of artificial intelligence in gastrointestinal endoscopy. Arab Journal of Gastroenterology 2024; 25(2): 93 doi: 10.1016/j.ajg.2023.12.010
27
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): E908 doi: 10.1055/a-2131-4797
28
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): 7724 doi: 10.3390/s23187724
29
Shashank Girepunje, Pradeep Singh. High Performance Computing, Smart Devices and Networks. Lecture Notes in Electrical Engineering 2024; 1262: 271 doi: 10.1007/978-981-97-7794-5_22
30
Osamu Toyoshima, Toshihiro Nishizawa, Keisuke Hata. 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
31
Sameena Pathan, Yashodhara Somayaji, Tanweer Ali, Modha Varsha. ContourNet—An Automated Segmentation Framework for Detection of Colonic Polyps. IEEE Access 2024; 12: 58887 doi: 10.1109/ACCESS.2024.3392947
32
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): 84 doi: 10.3390/jimaging11030084
33
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): 2313 doi: 10.2217/fon-2023-0704
34
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: e42665 doi: 10.2196/42665
35
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): 865 doi: 10.3390/diagnostics13050865
36
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: 283 doi: 10.1007/978-3-031-54450-7_32
37
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
38
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
39
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; : 2591 doi: 10.1109/ICCVW60793.2023.00274
40
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. ESGE Days 2023 2023; 55 doi: 10.1055/s-0043-1765620
41
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): 304 doi: 10.1007/s11894-024-00942-8
42
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): 95 doi: 10.1016/j.tige.2022.10.001
43
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): 80 doi: 10.1097/MS9.0000000000000079
44
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: 102616 doi: 10.1016/j.artmed.2023.102616
45
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
46
Franz Ludwig Dumoulin, Katharina Scheyda-Yoo. Therapie-Handbuch - Gastroenterologie und Hepatologie. 2024; : 581 doi: 10.1016/B978-3-437-21005-1.00077-9
47
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): 145 doi: 10.1093/jcag/gwad017
Write to the Help Desk
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

California Corporate Number: 3537345