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Artificial intelligence in functional gastrointestinal disorders: From precision diagnosis to preventive healthcare
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Artificial Intelligence in Gastroenterology is a rigorously peer-reviewed, open-access academic journal dedicated to publishing original, high-quality research findings in the field of gastroenterology and hepatology, including clinical, translational, and basic studies. The journal focuses on, but is not limited to, the following areas: Gastrointestinal cancer, liver cancer, pancreatic cancer, hepatitis B, hepatitis C, nonalcoholic fatty liver disease, inflammatory bowel disease, irritable bowel syndrome, and Helicobacter pylori infection. Types of articles published by the journal include clinical study, basic study, case report, editorial, review, minireview, systematic review, meta-analysis, guidelines, and correspondence.  The journal sincerely welcomes experts and scholars to submit original research manuscripts. Each submission will be reviewed by at least two independent referees, who will critically assess its novelty, significance, and reproducibility, as well as any flaws in experimental design and data processing, in order to provide authors with meaningful peer review reports. The journal adheres to editorial policies, peer-review processes, editorial processes, and publication ethics guidelines developed by the editorial office in accordance with the Committee on Publication Ethics, the International Committee of Medical Journal Editors, and the World Association of Medical Editors. By doing so, the journal strives to provide authors with high-quality services, offer readers high-quality academic content, and further advance clinical practice. Submit an Article >>

2026 Published Issues
1
Editors-in-Chief
  • Rajvinder Singh, Professor, (E-mail: rajvinder.singh@sa.gov.au) Gastroenterology Unit, Division of Surgery, The Lyell McEwin Hospital & the University of Adelaide, Adelaide, South Australia 5112, Australia
Indexing/Abstracting
The AIG is now abstracted and indexed in Reference Citation Analysis, China Science and Technology Journal Database.
Journal Metrics
There is currently no impact factor. 
ISSN
2644-3236 (online)
Latest Manuscript Statistics
Received (168), Duration of Peer Review (16 days/Mean), Days from Submission to First Decision (36 days/Mean), Second Decision Time (29 days/Mean), Accepted (38.7%/Mean), Production Time (26 days/Mean), Time to Publication (113 days/Mean), and Rejected (35.1%/Mean).
Current Issue
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Contents Volume 7 Issue 1 January 8, 2026
Review
Multimodal artificial intelligence integrates imaging, endoscopic, and omics data for intelligent decision-making in individualized gastrointestinal tumor treatment 
Hui Nian, Yi-Bin Wu, Yu Bai, Zhi-Long Zhang, Xiao-Huang Tu, Qi-Zhi Liu, De-Hua Zhou, Qian-Cheng Du 
Artif Intell Gastroenterol 7(1):115498. Published online Jan 8, 2026. doi: 10.35712/aig.v7.i1.115498
Minireviews
Artificial intelligence in functional gastrointestinal disorders: From precision diagnosis to preventive healthcare 
Yi-Nan Yan, Jing-Qi Zeng, Xia Ding 
Artif Intell Gastroenterol 7(1):112357. Published online Jan 8, 2026. doi: 10.35712/aig.v7.i1.112357
Case Report
Integrating artificial intelligence in the diagnostic pathway of duodenal gastrointestinal stromal tumors: A case report 
Himanshu Agrawal, Garima Dwivedi, Rahul Rohitaj, Himanshu Tanwar, Shailender Maurya, Nikhil Gupta 
Artif Intell Gastroenterol 7(1):115054. Published online Jan 8, 2026. doi: 10.35712/aig.v7.i1.115054
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