World Journal of Gastroenterology - Baishideng Publishing Group

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For:	Cao JS, Lu ZY, Chen MY, Zhang B, Juengpanich S, Hu JH, Li SJ, Topatana W, Zhou XY, Feng X, Shen JL, Liu Y, Cai XJ. Artificial intelligence in gastroenterology and hepatology: Status and challenges. World J Gastroenterol 2021; 27(16): 1664-1690 [PMID: 33967550 DOI: 10.3748/wjg.v27.i16.1664]
URL:	https://www.wjgnet.com/1007-9327/full/v27/i16/1664.htm

(349) (376) (0) (0) (0) (2) (13862) (36)

Number	Citing Articles
1	Umid K Shrestha. Emerging role of artificial intelligence in gastroenterology and hepatology. World Journal of Gastroenterology 2025; 31(39): 111495 doi: 10.3748/wjg.v31.i39.111495 Abstract(130) \| Core Tip(142) \| Full Article(HTML)(1016) \| Full Article (PDF)-7702K(283) \| Full Article with Cover (PDF)-7991K(112) \| Full Article (XML)-366K(80) \| Audio-1726K(60) \| Peer-Review Report-277K(76) \| Answering Reviewers-169K(59) \| Times Cited (6) \| Total Visits (1670) \| Open
2	A. Subaveerapandiyan, Dalitso Mvula, Naved Ahmad, Amreen Taj, Mohammed Gulzar Ahmed. Assessing AI literacy and attitudes among medical students: implications for integration into healthcare practice. Journal of Health Organization and Management 2024; doi: 10.1108/JHOM-04-2024-0154
3	Tahereh Saheb, Tayebeh Saheb, David O. Carpenter. Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis. Computers in Biology and Medicine 2021; 135 doi: 10.1016/j.compbiomed.2021.104660
4	Bo Zhang, Huiping Shi, Hongtao Wang. Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach. Journal of Multidisciplinary Healthcare 2023; doi: 10.2147/JMDH.S410301
5	Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases. 2023; doi: 10.1016/B978-0-323-99136-0.00015-5
6	João Afonso, Miguel Martins, João Ferreira, Miguel Mascarenhas. Artificial Intelligence in Capsule Endoscopy. 2023; doi: 10.1016/B978-0-323-99647-1.00003-4
7	Chanda K. Ho, Sumeet K. Asrani. Ethics, Bias, and Governance in Artificial Intelligence for Hepatology: Toward Building a Safe and Fair Future. Journal of Clinical and Experimental Hepatology 2025; 15(6) doi: 10.1016/j.jceh.2025.102628
8	Jiaona Xu, Yuting Meng, Kefan Qiu, Win Topatana, Shijie Li, Chao Wei, Tianwen Chen, Mingyu Chen, Zhongxiang Ding, Guozhong Niu. Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future Challenges. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.892056
9	Zhiyuan Ke, Yunhe Liu, Changchun Yin, Fuying Yang, Zhihao Rong, Luyuan Wang, Xinpeng Ma, Yang Su, Vikas Chand Baranwal. Three-Dimensional High-Fidelity Surrogate Modeling of Frequency-Domain Airborne Electromagnetics Based on Hybrid DeepONet-Fourier Neural Operator. IEEE Transactions on Antennas and Propagation 2026; 74(1) doi: 10.1109/TAP.2025.3623249
10	Pierre Allaume, Noémie Rabilloud, Bruno Turlin, Edouard Bardou-Jacquet, Olivier Loréal, Julien Calderaro, Zine-Eddine Khene, Oscar Acosta, Renaud De Crevoisier, Nathalie Rioux-Leclercq, Thierry Pecot, Solène-Florence Kammerer-Jacquet. Artificial Intelligence-Based Opportunities in Liver Pathology—A Systematic Review. Diagnostics 2023; 13(10) doi: 10.3390/diagnostics13101799
11	Neelankit Gautam Goswami, Shreyas Karnad, Niranjana Sampathila, G. Muralidhar Bairy, Krishnaraj Chadaga, K. S. Swathi. Current trends of artificial intelligence and applications in digital pathology: A comprehensive review. International Journal of ADVANCED AND APPLIED SCIENCES 2023; 10(12) doi: 10.21833/ijaas.2023.12.004
12	Mohammad Kermansaravi, Athanasios Pantelis, Bart Torensma, Shahab Shahabi, Manuela Mazzarella, Stefanie D’Arco, Yung Lee, Allan Okrainec, Silvia Leite, Thomas H Shin, Ricardo V Cohen. IFSO Survey: Use of Large Language Models (LLMs) by Metabolic Bariatric Surgeons and Integrated Health Professionals. Obesity Surgery 2026; 36(4) doi: 10.1007/s11695-026-08578-5
13	Zihua Lu, Youming Xu, Liwen Yao, Wei Zhou, Wei Gong, Genhua Yang, Mingwen Guo, Beiping Zhang, Xu Huang, Chunping He, Rui Zhou, Yunchao Deng, Honggang Yu. Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video). Gastrointestinal Endoscopy 2022; 95(6) doi: 10.1016/j.gie.2021.11.049
14	Ludovico Abenavoli, Marcello Candelli. Recent Advances and Future Challenges in the Field of Digestive Diseases. Medicina 2023; 59(2) doi: 10.3390/medicina59020208
15	Xiaohan Cai, Zexin Zhang, Siqi Zhao, Wentian Liu, Xiaofei Fan. Application of Explainable Artificial Intelligence Based on Visual Explanation in Digestive Endoscopy. Bioengineering 2025; 12(10) doi: 10.3390/bioengineering12101058
16	Dushyant Singh Dahiya, Mohammad Al-Haddad, Saurabh Chandan, Manesh Kumar Gangwani, Muhammad Aziz, Babu P. Mohan, Daryl Ramai, Andrew Canakis, Jay Bapaye, Neil Sharma. Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail?. Journal of Clinical Medicine 2022; 11(24) doi: 10.3390/jcm11247476
17	Aurea Valeria Pereira Silva, Plinio Sa Leitao-Junior. Advancements in artificial intelligence for colorectal cancer: A comprehensive overview of systematic reviews. Intelligence-Based Medicine 2025; 12 doi: 10.1016/j.ibmed.2025.100262
18	Habiblah Ayomide Jagunmolu, Emmanuel Oyedeji Oyetola, Yusuff Abiola Lawal, Stella Odunayo Akinsanya, Mukhtar Abimbola Ibrahim, Toluwanimi Oladele Idowu, Samuel Oyeponle Oyelude, Muminat Adeyemi Jubreel, Dhikrat Olamide Ajibade, Taofeek Oyetola Olaniyi, AbdulFatai Arikewuyo Sheriff. Liver disease diagnostics and access barriers in African settings: a narrative review. Journal of Clinical Pathology 2026; 79(8) doi: 10.1136/jcp-2026-210662
19	Jan de Laffolie. Digitale Medizin in der Gastroenterologie - was ist sinnvoll und was nicht?. Gastro-News 2025; 12(1) doi: 10.1007/s15036-025-3823-z
20	Rakib Hasan, Moddassir Khan Nayeem, P. Santhiya, Amrit Das. Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis. Studies in Systems, Decision and Control 2025; 558 doi: 10.1007/978-981-96-0085-4_22
21	Anat Hershko-Moshe, Yaako’v Hasin, Anat Nevo-Shor, Ohad Etzion, Yaron Ilan, Soe Thiha Maung. Improving the Treatment Response of Patients with Irritable Bowel Syndrome: Implementing a Second-Generation Artificial Intelligence System for Overcoming Resistance. GastroHep 2022; 2022 doi: 10.1155/2022/1192547
22	Mehwish Jamil, Qian Li. Artificial intelligence in gastrointestinal endoscopy: current evidence and future directions. Therapeutic Advances in Gastrointestinal Endoscopy 2025; 18 doi: 10.1177/26317745251398945
23	Miguel Mascarenhas, Miguel Martins, Tiago Ribeiro, João Afonso, Pedro Cardoso, Francisco Mendes, Hélder Cardoso, Rute Almeida, João Ferreira, João Fonseca, Guilherme Macedo. Software as a Medical Device (SaMD) in Digestive Healthcare: Regulatory Challenges and Ethical Implications. Diagnostics 2024; 14(18) doi: 10.3390/diagnostics14182100
24	Michael G. Kantrowitz. Medical malpractice and gastrointestinal endoscopy. Current Opinion in Gastroenterology 2022; 38(5) doi: 10.1097/MOG.0000000000000863
25	Feifei Lu, Yao Meng, Xiaoting Song, Xiaotong Li, Zhuang Liu, Chunru Gu, Xiaojie Zheng, Yi Jing, Wei Cai, Kanokwan Pinyopornpanish, Andrea Mancuso, Fernando Gomes Romeiro, Nahum Méndez-Sánchez, Xingshun Qi. Artificial Intelligence in Liver Diseases: Recent Advances. Advances in Therapy 2024; 41(3) doi: 10.1007/s12325-024-02781-5
26	Yagna Mehta, Saumya Mehta, Vishwa Bhayani, Sankalp Parikh, Rajiv Mehta. Gastroenterology in the age of artificial intelligence: Bridging technology and clinical practice. World Journal of Gastroenterology 2025; 31(36): 110549 doi: 10.3748/wjg.v31.i36.110549 Abstract(140) \| Core Tip(111) \| Full Article(HTML)(749) \| Full Article (PDF)-463K(121) \| Full Article with Cover (PDF)-728K(152) \| Full Article (XML)-125K(46) \| Audio-3343K(33) \| Peer-Review Report-4042K(84) \| Answering Reviewers-158K(66) \| Times Cited (5) \| Total Visits (1161) \| Open
27	Ming‐Ying Lu, Wan‐Long Chuang, Ming‐Lung Yu. The role of artificial intelligence in the management of liver diseases. The Kaohsiung Journal of Medical Sciences 2024; 40(11) doi: 10.1002/kjm2.12901
28	Usman Ahmad Usmani, Ari Happonen, Junzo Watada, Jayden Khakurel. Proceedings of Eighth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems 2023; 694 doi: 10.1007/978-981-99-3091-3_89
29	Abdulfattah S. Alqahtani. A Review of the Scope, Future, and Effectiveness of Using Artificial Intelligence in Cardiac Rehabilitation: A Call to Action for the Kingdom of Saudi Arabia. Applied Artificial Intelligence 2023; 37(1) doi: 10.1080/08839514.2023.2175111
30	Yaoqi Wang, Ya Peng, Zheng Wang, Peng Liu, Zhiyuan Chen. Transforming endoscopic retrograde cholangiopancreatography: the role of artificial intelligence in pre-operative planning, intraoperative navigation, and post-operative risk prediction. Frontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1879402
31	Lei Shi, Rui Huang, Li-Ling Zhao, An-Jie Guo. Foundation models: Insights and implications for gastrointestinal cancer. World Journal of Gastroenterology 2025; 31(47): 112921 doi: 10.3748/wjg.v31.i47.112921 Abstract(101) \| Core Tip(107) \| Full Article(HTML)(580) \| Full Article (PDF)-1365K(1920) \| Full Article with Cover (PDF)-1618K(53) \| Full Article (XML)-565K(39) \| Audio-300K(27) \| Peer-Review Report-253K(59) \| Answering Reviewers-228K(78) \| Supplementary Material-1041K(52) \| Times Cited (1) \| Total Visits (2763) \| Open
32	Abdulqadir J. Nashwan, Ahmad A. Abujaber, Hassan Choudry. Embracing the future of physician-patient communication: GPT-4 in gastroenterology. Gastroenterology & Endoscopy 2023; 1(3) doi: 10.1016/j.gande.2023.07.004
33	Zhao-Chun Chi. Artificial intelligence for gastric cancer: Advances and current status in diagnosis and therapy. World Chinese Journal of Digestology 2026; 34(5) doi: 10.11569/wcjd.v34.i5.345 Abstract(66) \| Core Tip(44) \| Full Article(HTML)(172) \| Times Cited (0) \| Total Visits (267) \| Open
34	Kirolos Eskandar. Artificial intelligence in hepatology: A comprehensive scoping review of clinical applications, challenges, and future directions. iLIVER 2025; 4(4) doi: 10.1016/j.iliver.2025.100205