Application of artificial intelligence in the detection of Borrmann type 4 advanced gastric cancer in upper endoscopy (with video)
An innovative AI-based model was developed to identify B-4 gastric cancer using endoscopic images. This AI model is specialized for the highly sensitive detection of rare B-4 gastric cancer and is expected to assist clinicians in real-time endoscopy.
Authors
- Seung Joo Kang (ORCID: https://orcid.org/0000-0002-7401-8356)
- Mi Jin Oh (ORCID: https://orcid.org/0000-0002-5886-7868)
- Seungkyung Kang (ORCID: https://orcid.org/0000-0003-2332-7420)
- Soo‐Jeong Cho (ORCID: https://orcid.org/0000-0001-7144-0589)
- Cheol Min Shin (ORCID: https://orcid.org/0000-0003-2265-9845)
- Sang Gyun Kim (ORCID: https://orcid.org/0000-0003-1799-9028)
- Seung‐Han Lee (ORCID: https://orcid.org/0000-0002-4410-646X)
- Su Hyun Kim (ORCID: https://orcid.org/0000-0003-4268-6437)
- Mina Park (ORCID: https://orcid.org/0000-0002-2005-7560)
- Jinbae Park (ORCID: https://orcid.org/0009-0003-6635-0345)
- Young Hoon Chang (ORCID: https://orcid.org/0000-0001-9221-0993)
- Su Hee Park
- Jiwoon Jeon
Institutions
- Seoul National University (KR)
- Seoul National University Hospital (KR)
- Seoul National University Bundang Hospital (KR)
Publication Details
- Journal
- Cancer
- Published
- 2025-02-15
- DOI
- https://doi.org/10.1002/cncr.35768
- Citations
- 2
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 2.09