Artificial intelligence–assisted capsule endoscopy versus conventional capsule endoscopy for detection of small bowel lesions: a systematic review and meta‐analysis

Dhali, A. orcid.org/0000-0002-1794-2569, Kipkorir, V., Maity, R. orcid.org/0009-0003-5316-2329 et al. (14 more authors) (2025) Artificial intelligence–assisted capsule endoscopy versus conventional capsule endoscopy for detection of small bowel lesions: a systematic review and meta‐analysis. Journal of Gastroenterology and Hepatology. ISSN 0815-9319

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Item Type: Article
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© 2025 The Author(s). Journal of Gastroenterology and Hepatology published by Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/

Keywords: artificial intelligence; bowel; capsule endoscopy; diagnosis; small intestine
Dates:
  • Published: 13 March 2025
  • Published (online): 13 March 2025
  • Accepted: 1 March 2025
  • Submitted: 23 July 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Depositing User: Symplectic Sheffield
Date Deposited: 25 Mar 2025 14:27
Last Modified: 25 Mar 2025 14:27
Status: Published online
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1111/jgh.16931
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