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Cited by in CrossRef
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
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 networksFrontiers 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 Screening2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) 2026;  doi: 10.1109/IATMSI68868.2026.11466107
3
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 perspectivesExploration of Digestive Diseases 2025; 4 doi: 10.37349/edd.2025.100597
4
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 issuesNanomedicine 2025; 20(21) doi: 10.1080/17435889.2025.2563381
5
Siddharth Goswami, Sachin Sharma, Piyush Agarwal. Machine Learning as Healthcare Catalyst for Data, Infrastructure, and Impact Assessment2026 9th International Conference on Computing Methodologies and Communication (ICCMC) 2026;  doi: 10.1109/ICCMC69250.2026.11624726
6
Zi-Ye Wan, Dong-Ge Peng, Ning Lu. Applications of artificial intelligence in early screening and diagnosis of gastric cancerWorld Chinese Journal of Digestology 2026; 34(1) doi: 10.11569/wcjd.v34.i1.20
7
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 PropertiesAnnals of Biomedical Engineering 2026;  doi: 10.1007/s10439-026-04118-5
8
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
9
An Attention-Enhanced ViT-HLNN Hybrid Ensemble Framework for Multi-Class Gastrointestinal Disease ClassificationScientific Reports 2026; 16(1) doi: 10.1038/s41598-026-51410-4
10
M. Sujana, G.N. Vivekananda. Deep Learning–Driven Computational Frameworks for Non-Alcoholic Fatty Liver Disease Assessment and Clinical Decision Support2026 4th International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) 2026;  doi: 10.1109/AIMLA67915.2026.11522338
11
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 challengesWorld Journal of Hepatology 2026; 18(2): 114834 doi: 10.4254/wjh.v18.i2.114834
12
Taly Issa, Iyad A Issa. Inflammatory markers as bridges to the mind in postoperative intestinal tumor recoveryWorld Journal of Gastroenterology 2026; 32(33): 116857 doi: 10.3748/wjg.116857
13
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 SocietiesUnited European Gastroenterology Journal 2025; 13(10) doi: 10.1002/ueg2.70127
14
A Multiscale Fusion Model Based on Raman Spectroscopy Combined With State Selection Space Algorithm Is Used for the Research of Diagnosing OsteoporosisJournal of Raman Spectroscopy 2026; 57(7) doi: 10.1002/jrs.70124
15
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 reviewPostępy Higieny i Medycyny Doświadczalnej 2026; 80(1) doi: 10.2478/ahem-2026-0005
16
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 IntelligenceCancers 2026; 18(2) doi: 10.3390/cancers18020340
17
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 translationArtificial Intelligence in Gastroenterology 2026; 7(2): 121977 doi: 10.35712/aig.121977
18
T. Swetha Kumari, R. Vasuki, R. Kishore Kanna, S. Raju. A Comprehensive Review on Computer-Based Endoscopic Image Processing Using Machine Learning Application2025 International Conference on Electrical and Electronics Engineering (ICE3) 2025;  doi: 10.1109/ICE367573.2025.11448910