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Current status of artificial intelligence (AI) for upper gastrointestinal (GI) endoscopy Jun Ueno 1 , Tsuyoshi Ozawa 1,2 , Junichi Shibata 1,2 , Mitsuaki Ishioka 3,4 , Eisuke Nakao 5 , Toshiaki Hirasawa 3 , Toshiyuki Yoshio 3 , Junko Fujisaki 3 , Tomohiro Tada 1,2 1AI Medical Service Inc., Tokyo, Japan 2Tomohiro Tada the Institute of Gastroenterology and Proctology 3Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research 4Shinagawa Gut Clinic 5Department of Gastroenterology, Tane General Hospital Keyword: deep learning , computer-aided diagnosis:CAD , endoscopic AI , computer-aided quality assurance:CADq pp.1660-1668
Published Date 2023/12/25
DOI https://doi.org/10.24479/endo.0000001146
  • Abstract
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 Recently, artificial intelligence (AI) has been utilized in various fields including medicine, especially in the realm of diagnostic medical imaging. Several AI systems supporting the diagnosis of upper gastrointestinal cancer in endoscopic images have been developed, and previous studies showed their usefulness. Other than AI systems for gastrointestinal cancers, AI systems to support quality control of endoscopy or to automatically generate endoscopic reports have also been developed. Some of these AI systems are already used in real clinical practice, and their performance in the real world will be demonstrated in the near future. Gastrointestinal endoscopies originated in Japan, and Japan is expected to be the center of endoscopic AI as well. In this article, we outline the current status and future prospects of endoscopic AI.


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電子版ISSN 印刷版ISSN 0915-3217 東京医学社

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