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Artificial intelligence and machine learning applications in abdominal tuberculosis diagnosis: A scoping review and translational roadmap
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Artificial Intelligence in Gastroenterology is an international, 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. All submissions undergo a rigorous and transparent peer-review process by at least two independent reviewers. Manuscripts are evaluated based on scientific rigor, originality, clinical relevance, and reproducibility, with particular attention to methodological robustness and data integrity. Constructive and timely feedback is provided to ensure the highest standards of scholarly communication. The journal adheres to the highest standards of publication ethics and editorial integrity, in accordance with the guidelines of the Committee on Publication Ethics, the International Committee of Medical Journal Editors, and the World Association of Medical Editors. To advance scientific discovery, promote evidence-based clinical practice, and foster innovation in gastroenterology and hepatology, ultimately improving global health outcomes. We invite researchers, clinicians, and multidisciplinary experts worldwide to submit high-quality manuscripts and contribute to shaping the future of gastrointestinal and hepatology science. Submit an Article >>

2026 Published Issues
2 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 (180), Duration of Peer Review (15 days/Mean), Days from Submission to First Decision (36 days/Mean), Second Decision Time (30 days/Mean), Accepted (39.4%/Mean), Production Time (39 days/Mean), Time to Publication (123 days/Mean), and Rejected (36.1%/Mean).
Current Issue
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Contents Volume 7 Issue 2 August 8, 2026
Evidence Review
Artificial wisdom in gastrointestinal diagnostics: A new frontier in translational reasoning
Iyad A Issa, Taly Issa 
Artif Intell Gastroenterol 7(2):118884. Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.118884
Review
Artificial intelligence in expanding hepatic resection boundaries: Integrating portal flow modulation and regenerative strategies
Himanshu Agrawal, Nikhil Gupta, Himanshu Tanwar 
Artif Intell Gastroenterol 7(2):116057. Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.116057
Digital twins in gastroenterology: From computational modeling to precision medicine and clinical translation
Rishi Chowdhary, Yousra Iftequar, FNU Anveshak, Anushri Parikh, Kridhay Jindal, Kirti Arora, Rahul Chowdhary 
Artif Intell Gastroenterol 7(2):121977. Published online Aug 8, 2026. doi: 10.35712/aig.121977
Minireviews
Artificial intelligence in celiac disease pathology: From digital histomorphology to multi-modal integration
Hakim Rahmoune, Nada Boutrid, Isra Benchoufi 
Artif Intell Gastroenterol 7(2):116570. Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.116570
Artificial intelligence in histopathology of inflammatory bowel disease: Toward objective and reproducible assessment of disease activity
Marcelo Fabián Amante 
Artif Intell Gastroenterol 7(2):118230. Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.118230
Leveraging artificial intelligence to differentiate benign from malignant biliary strictures: A step toward precision diagnosis
Ammara Abdul Majeed, Amna Subhan Butt 
Artif Intell Gastroenterol 7(2):118476. Published online Aug 8, 2026. doi: 10.35712/aig.118476
Expanding the use of artificial intelligence in non-invasive colorectal cancer screening
Koby Herman, Saleh A Busbait, Gautham Chitragari, Vijay K Mittal, Jasneet S Bhullar 
Artif Intell Gastroenterol 7(2):119658. Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.119658
Artificial intelligence in prognostication and treatment response modeling in advanced hepatocellular carcinoma
Babu Lal Meena, Bijaylaxmi Behera, Omkar S Rudra, Deepti Sharma 
Artif Intell Gastroenterol 7(2):120311. Published online Aug 8, 2026. doi: 10.35712/aig.120311
Advances in artificial intelligence-based colonoscopic tools and modalities: Transforming colorectal cancer detection and management
Philippe Attieh, Antonio Al Hazzouri, Rim Moubayed, Tya Youssef, Karam Karam, Said G Farhat 
Artif Intell Gastroenterol 7(2):120803. Published online Aug 8, 2026. doi: 10.35712/aig.120803
Artificial intelligence applications in exposed endoscopic full-thickness resection vs thoracoscopic surgery for complex esophageal subepithelial lesions: Narrative review
Gemechu Dereje Feyissa 
Artif Intell Gastroenterol 7(2):121906. Published online Aug 8, 2026. doi: 10.35712/aig.121906
Systematic Reviews
Artificial intelligence and machine learning applications in abdominal tuberculosis diagnosis: A scoping review and translational roadmap
Kumar Kaushik, Jyoti Pathania, Pritish Kumar Singh, Monika Dinkar, Vanya Pathania 
Artif Intell Gastroenterol 7(2):123751. Published online Aug 8, 2026. doi: 10.35712/aig.123751
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