Systematic review of artificial intelligence-based image diagnosis for inflammatory bowel disease.

Journal: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Published Date: Jun 1, 2022

Abstract

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.

Authors

  • Ami Kawamoto
    Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kento Takenaka
    Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Ryuichi Okamoto
    Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Mamoru Watanabe
    Department of Gastroenterology and Hepatology, Tokyo Medical and Dental University, Tokyo, Japan. Electronic address: mamoru.gast@tmd.ac.jp.
  • Kazuo Ohtsuka
    Tokyo Medical and Dental University, Tokyo, Japan (K.O.).

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