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Updated: Sep 26, 2025
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Systematic review of artificial intelligence-based image diagnosis for inflammatory bowel disease
Ami Kawamoto1, Kento Takenaka1, Ryuichi Okamoto1
1Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Tokyo, Japan.
Objectives:
Diagnosis of inflammatory bowel diseases (IBD) involves combining clinical, laboratory, endoscopic, histologic, and radiographic data. Artificial intelligence (AI) is rapidly being developed in various fields of medicine, including IBD. Because a key part in the diagnosis of IBD involves evaluating imaging data, AI is expected to play an important role in this aspect in the coming decades. We conducted a systematic literature review to highlight the current advancement of AI in diagnosing IBD from imaging data.
Methods:
We performed an electronic PubMed search of the MEDLINE database for studies up to January 2022 involving IBD and AI. Studies using imaging data as input were included, and nonimaging data were excluded.
Results:
A total of 27 studies are reviewed, including 18 studies involving endoscopic images and nine studies involving other imaging data.
Conclusion:
We highlight in this review the recent advancement of AI in diagnosing IBD from imaging data by summarizing the relevant studies, and discuss the future role of AI in clinical practice.
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