World Journal of Gastroenterology - Baishideng Publishing Group

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For:	Chen ZL, Wang C, Wang F. Revolutionizing gastroenterology and hepatology with artificial intelligence: From precision diagnosis to equitable healthcare through interdisciplinary practice. World J Gastroenterol 2025; 31(24): 108021 [PMID: 40599184 DOI: 10.3748/wjg.v31.i24.108021]
URL:	https://www.wjgnet.com/1007-9327/full/v31/i24/108021.htm

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Number	Citing Articles
1	Anne-Kathrin Reichert, Kariem Ali, Amna Asif, Romy M. Heilmann. Detection of protein-losing enteropathy (PLE) ultrasonographic imaging features in dogs using deep learning neural networks. Frontiers in Artificial Intelligence 2026; 8 doi: 10.3389/frai.2025.1707957
2	M. Madhavi., Ch Divya, K. Karthick, J Jesintha Princy, Pradnya A. Maturkar, Arshiya Begum. Federated Capsule Endoscopy Analytics for Privacy-Preserving Gut Disease Screening. 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) 2026; doi: 10.1109/IATMSI68868.2026.11466107
3	Zekai Hu, Yajie Lin, Hainv Gao, Leyao Shuai, Zhaowei Tong, Chenqi Nie, Zhe Yang, Junsheng Zhao. Application of artificial intelligence in hepatology. Frontiers in Digital Health 2026; 8 doi: 10.3389/fdgth.2026.1851723
4	Arnulfo E. Morales-Galicia, Mariana N. Rincón-Sánchez, Mariana M. Ramírez-Mejía, Nahum Méndez-Sánchez. How the gut-liver axis shapes hepatic encephalopathy: mechanistic and therapeutic perspectives. Exploration of Digestive Diseases 2025; 4 doi: 10.37349/edd.2025.100597
5	Weiping Wan, Fan Yang, Yenan Zhang, Jie Wang, Xin Xie, Fangming Guo, Li Han. Advancements in nanoultrasonics technology for the diagnosis and treatment of liver cancer: discussion on medical ethics and hospital management issues. Nanomedicine 2025; 20(21) doi: 10.1080/17435889.2025.2563381
6	Siddharth Goswami, Sachin Sharma, Piyush Agarwal. Machine Learning as Healthcare Catalyst for Data, Infrastructure, and Impact Assessment. 2026 9th International Conference on Computing Methodologies and Communication (ICCMC) 2026; doi: 10.1109/ICCMC69250.2026.11624726
7	Zi-Ye Wan, Dong-Ge Peng, Ning Lu. Applications of artificial intelligence in early screening and diagnosis of gastric cancer. World Chinese Journal of Digestology 2026; 34(1) doi: 10.11569/wcjd.v34.i1.20 Abstract(190) \| Core Tip(136) \| Full Article(HTML)(796) \| Times Cited (0) \| Total Visits (1160) \| Open
8	Federica Potere, Arianna Callera, Emma Confortola, Nada Khaled Mansour, Simone Micalizzi, Gianluca De Danieli, Pieter Janssen, Alice Crippa, Paolo Oliva, Francesco De Gaetano. Development of a Synthetic Liver Phantom: Experimental Characterization of Tissue Mechanical Properties. Annals of Biomedical Engineering 2026; doi: 10.1007/s10439-026-04118-5
9	Mircea Mănuc, Cătălin-Andrei Duței, Teodora-Ecaterina Mănuc, Andreea-Elena Chifulescu, Florin Andrei Grama. Could artificial intelligence-powered colonoscopies change the future of colorectal cancer screening?. World Journal of Gastroenterology 2025; 31(42): 111291 doi: 10.3748/wjg.v31.i42.111291 Abstract(150) \| Core Tip(119) \| Full Article(HTML)(1142) \| Full Article (PDF)-635K(205) \| Full Article with Cover (PDF)-925K(86) \| Full Article (XML)-418K(63) \| Audio-426K(24) \| Peer-Review Report-252K(63) \| Answering Reviewers-136K(53) \| Times Cited (3) \| Total Visits (1603) \| Open
10	An Attention-Enhanced ViT-HLNN Hybrid Ensemble Framework for Multi-Class Gastrointestinal Disease Classification. Scientific Reports 2026; 16(1) doi: 10.1038/s41598-026-51410-4
11	M. Sujana, G.N. Vivekananda. Deep Learning–Driven Computational Frameworks for Non-Alcoholic Fatty Liver Disease Assessment and Clinical Decision Support. 2026 4th International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) 2026; doi: 10.1109/AIMLA67915.2026.11522338
12	Ofer Z. Fass, Amit Syal, John E. Pandolfino. Artificial Intelligence in Gastrointestinal Motility Testing. Gastroenterology Clinics of North America 2026; doi: 10.1016/j.gtc.2026.08.005
13	Miguel Suarez, Raquel Martínez, Félix González-Martínez, Ana María Torres, Jorge Mateo. 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 Abstract(182) \| Core Tip(127) \| Full Article(HTML)(719) \| Full Article (PDF)-1282K(1049) \| Full Article with Cover (PDF)-1525K(963) \| Full Article (XML)-621K(67) \| Audio-1495K(15) \| Peer-Review Report-253K(56) \| Answering Reviewers-139K(101) \| Supplementary Material-398K(46) \| Times Cited (2) \| Total Visits (3105) \| Open
14	Iyad A Issa, Taly Issa. Inflammatory markers as bridges to the mind in postoperative intestinal tumor recovery. World Journal of Gastroenterology 2026; 32(33): 116857 doi: 10.3748/wjg.116857 Abstract(55) \| Core Tip(44) \| Full Article(HTML)(210) \| Full Article (PDF)-1222K(26) \| Full Article with Cover (PDF)-1462K(40) \| Full Article (XML)-69K(16) \| Audio-1508K(0) \| Peer-Review Report-168K(21) \| Answering Reviewers-69K(24) \| Times Cited (0) \| Total Visits (361) \| Open
15	Sophie Schlosser‐Hupf, Jonas Staudacher, Verena Wagner, Mira Unger, Paula Sousa, Inga Marie Donning, Martina Müller‐Schilling, Henriette Heinrich. Harmonising Gastroenterology Training: An Analysis of Gastroenterology Training Curricula of the United European Gastroenterology Member Societies. United European Gastroenterology Journal 2025; 13(10) doi: 10.1002/ueg2.70127
16	Zhuangzhuang Zhu, Wei Huang, Haigeng Chen. A Cross-Regional Chronic Disease Risk Prediction Method Based on Federated Transfer Learning. Proceedings of the 2026 2nd International Conference on Health Big Data 2026; doi: 10.1145/3833450.3833467
17	A Multiscale Fusion Model Based on Raman Spectroscopy Combined With State Selection Space Algorithm Is Used for the Research of Diagnosing Osteoporosis. Journal of Raman Spectroscopy 2026; 57(7) doi: 10.1002/jrs.70124
18	Pengfei Shao, Yurong Xie, Yibi Ranhen, Ci Yang, Basang Zhuoma, Wei Li. The mechanism and influencing factors of missed diagnosis risk in new gastric cancer screening scoring systems for low-risk populations: A review. Postępy Higieny i Medycyny Doświadczalnej 2026; 80(1) doi: 10.2478/ahem-2026-0005
19	Divyanshi Sood, Surbhi Dadwal, Samiksha Jain, Iqra Jabeen Mazhar, Bipasha Goyal, Chris Garapati, Sagar Patel, Zenab Muhammad Riaz, Noor Buzaboon, Ayushi Mendiratta, Avneet Kaur, Anmol Mohan, Gayathri Yerrapragada, Poonguzhali Elangovan, Mohammed Naveed Shariff, Thangeswaran Natarajan, Jayarajasekaran Janarthanan, Shreshta Agarwal, Sancia Mary Jerold Wilson, Atishya Ghosh, Shiva Sankari Karuppiah, Joshika Agarwal, Keerthy Gopalakrishnan, Swetha Rapolu, Venkata S. Akshintala, Shivaram P. Arunachalam. Prospective of Colorectal Cancer Screening, Diagnosis, and Treatment Management Using Bowel Sounds Leveraging Artificial Intelligence. Cancers 2026; 18(2) doi: 10.3390/cancers18020340
20	Rishi Chowdhary, Yousra Iftequar, FNU Anveshak, Anushri Parikh, Kridhay Jindal, Kirti Arora, Rahul Chowdhary. Digital twins in gastroenterology: From computational modeling to precision medicine and clinical translation. Artificial Intelligence in Gastroenterology 2026; 7(2): 121977 doi: 10.35712/aig.121977 Abstract(48) \| Core Tip(55) \| Full Article(HTML)(481) \| Full Article (PDF)-1391K(41) \| Full Article with Cover (PDF)-1707K(21) \| Full Article (XML)-240K(17) \| Audio-1223K(4) \| Peer-Review Report-258K(24) \| Answering Reviewers-129K(26) \| Times Cited (0) \| Total Visits (644) \| Open
21	T. Swetha Kumari, R. Vasuki, R. Kishore Kanna, S. Raju. A Comprehensive Review on Computer-Based Endoscopic Image Processing Using Machine Learning Application. 2025 International Conference on Electrical and Electronics Engineering (ICE3) 2025; doi: 10.1109/ICE367573.2025.11448910