Feasibility of real-time artificial intelligence-assisted anatomical structure recognition during endoscopic submucosal dissection
In this proof-of-concept study, feasibility of a real-time AI algorithm for anatomical structure delineation and orientation support during ESD was evaluated. The application proved safe and appropriate for routine procedures in humans. Further studies are needed to elucidate a potential clinical benefit of this new technology.
Authors
- Hongzheng Yang (ORCID: https://orcid.org/0009-0003-0292-3829)
- Yueyao Chen (ORCID: https://orcid.org/0009-0008-3084-4032)
- Helen Meng (ORCID: https://orcid.org/0000-0002-4427-3532)
- Tiffany Chua (ORCID: https://orcid.org/0000-0003-0664-6606)
- Markus W. Scheppach (ORCID: https://orcid.org/0000-0002-2255-7032)
- Hon Chi Yip (ORCID: https://orcid.org/0000-0003-1041-9668)
- Yeung Yam (ORCID: https://orcid.org/0000-0001-9950-5794)
- Jianfeng Cao (ORCID: https://orcid.org/0000-0002-7323-8875)
- Philip Wai Yan Chiu (ORCID: https://orcid.org/0000-0001-9292-112X)
- Qi Dou (ORCID: https://orcid.org/0000-0002-3416-9950)
Institutions
- Chinese University of Hong Kong (HK)
- University of Augsburg (DE)
- University of Florida (US)
Publication Details
- Journal
- Endoscopy International Open
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1055/a-2615-8008
- Citations
- 1
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.52