Endoscopic Artificial Intelligence for Image Analysis in Gastrointestinal Neoplasms.

Journal: Digestion
Published Date: Jul 26, 2024

Abstract

BACKGROUND: Artificial intelligence (AI) using deep learning systems has recently been utilized in various medical fields. In the field of gastroenterology, AI is primarily implemented in image recognition and utilized in the realm of gastrointestinal (GI) endoscopy. In GI endoscopy, computer-aided detection/diagnosis (CAD) systems assist endoscopists in GI neoplasm detection or differentiation of cancerous or noncancerous lesions. Several AI systems for colorectal polyps have already been applied in colonoscopy clinical practices. In esophagogastroduodenoscopy, a few CAD systems for upper GI neoplasms have been launched in Asian countries. The usefulness of these CAD systems in GI endoscopy has been gradually elucidated.

Authors

  • Ryosuke Kikuchi
    Division of Clinical Laboratory, Gifu University Hospital, Gifu, Japan.
  • Kazuaki Okamoto
    Department of Surgical Oncology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
  • Tsuyoshi Ozawa
    Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan.
  • Junichi Shibata
  • Soichiro Ishihara
    Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan; Surgery Department, Sanno Hospital, International University of Health and Welfare, Tokyo, Japan; Department of Surgical Oncology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.

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