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Welcome to the Artificial Intelligence in Gastrointestinal Endoscopy
Multimodal artificial intelligence in capsule endoscopy: Integrating video and sensor data for advanced gastrointestinal diagnostics
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Artificial Intelligence in Gastrointestinal Endoscopy is an international, peer-reviewed, open-access academic journal dedicated to publishing original, high-quality research findings in the field of gastrointestinal endoscopy, including clinical, translational, and basic studies, as well as research involving artificial intelligence. The journal focuses on, but is not limited to, the following areas: Capsule endoscopy, colonoscopy, double-balloon enteroscopy, duodenoscopy, endoscopic retrograde cholangiopancreatography, endosonography, esophagoscopy, gastrointestinal endoscopy, gastroscopy, laparoscopy, natural orifice endoscopic surgery, proctoscopy, and sigmoidoscopy. 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 gastrointestinal endoscopy, 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 endoscopic science. Submit an Article >>

2026 Published Issues
1
Editors-in-Chief
  • Krish Ragunath, MD, Professor, (Email: krish.ragunath@curtin.edu.au) Department of Gastroenterology and Hepatology, Royal Perth Hospital, Perth WA6000, Australia
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The AIGE is now abstracted and indexed in Reference Citation Analysis, China Science and Technology Journal Database.
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There is currently no impact factor.
ISSN
2689-7164 (online)
Latest Manuscript Statistics
Received (81), Duration of Peer Review (13 days/Mean), Days from Submission to First Decision (32 days/Mean), Second Decision Time (28 days/Mean), Accepted (60.5%/Mean), Production Time (25 days/Mean), Time to Publication (99 days/Mean), and Rejected (17.3%/Mean).
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Contents Volume 7 Issue 1 March 8, 2026
Minireviews
Artificial intelligence in upper gastrointestinal bleeding: Can machine learning predict endotherapy requirements? 
S Rakesh Kumar, Manas Kumar Panigrahi, Prakash Kumar Sasmal 
Artif Intell Gastrointest Endosc 7(1):114426. Published online Mar 8, 2026. doi: 10.37126/aige.v7.i1.114426
Multimodal artificial intelligence in capsule endoscopy: Integrating video and sensor data for advanced gastrointestinal diagnostics 
Rishi Chowdhary, Param Darpan Sheth, Insiya Mohammed Rampurawala, Chitresh Kapadia, Chirag Vohra, Rahul Chowdhary, Kirti Arora, Varna Taranikanti, Ashita Rukmini Vuthaluru, Omesh Goyal, Manjeet Kumar Goyal 
Artif Intell Gastrointest Endosc 7(1):117988. Published online Mar 8, 2026. doi: 10.37126/aige.v7.i1.117988
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