Impact of interaction between an artificial intelligence endoscopic support system and endoscopists on diagnosis of gastric neoplastic lesions
AI contributed to improved diagnostic performance even among Japanese expert endoscopists in detecting gastric neoplastic lesions. These findings suggest that the AI system may have potential to support consistently high diagnostic performance across varying levels of endoscopic expertise.
Authors
- Naomi Kakushima (ORCID: https://orcid.org/0000-0002-9635-2099)
- Hiroyuki Hisada (ORCID: https://orcid.org/0000-0002-6184-2215)
- Mitsuaki Ishioka (ORCID: https://orcid.org/0000-0002-7853-4454)
- Yosuke Tsuji (ORCID: https://orcid.org/0000-0001-9537-4993)
- Shinya Kodashima (ORCID: https://orcid.org/0000-0002-3125-317X)
- Dai Kubota (ORCID: https://orcid.org/0000-0002-2559-5536)
- Mitsuhiro Fujishiro (ORCID: https://orcid.org/0000-0002-4074-1140)
- Daisuke Ohki (ORCID: https://orcid.org/0000-0002-7400-0914)
- Atsuo Yamada (ORCID: https://orcid.org/0000-0003-4314-7777)
- Tomohiro Tada (ORCID: https://orcid.org/0000-0001-7221-8314)
- Nobutake Yamamichi (ORCID: https://orcid.org/0000-0002-5741-9887)
- Chihiro Takeuchi (ORCID: https://orcid.org/0000-0002-2746-9189)
- Yuko Miura (ORCID: https://orcid.org/0009-0000-7776-5886)
- Hiroya Mizutani
- R. Kikuchi
Institutions
- Bunkyo University (JP)
- Ochanomizu University (JP)
- Japan Tobacco (Japan) (JP)
- RIKEN (JP)
- The Cancer Institute Hospital (JP)
- The University of Tokyo (JP)
- Teikyo University (JP)
Publication Details
- Journal
- Endoscopy International Open
- Published
- 2025-09-03
- DOI
- https://doi.org/10.1055/a-2695-0556
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Olympus