Structured Integration of an Artificial Intelligence-Based System for the Optical Diagnosis of Colorectal Polyps
Integrating CADx with the 3-second rule significantly enhances the performance of endoscopists in the optical diagnosis of colorectal polyps, with the greatest benefit observed among novice endoscopists.
Authors
- Seon Hee Lim (ORCID: https://orcid.org/0000-0001-6174-7165)
- Hae Yeon Kang (ORCID: https://orcid.org/0000-0003-3965-7539)
- Jung Ho Bae (ORCID: https://orcid.org/0000-0001-7669-1213)
- Dong Hoon Baek (ORCID: https://orcid.org/0000-0003-1512-9475)
- Goh Eun Chung (ORCID: https://orcid.org/0000-0001-8344-7737)
- Sun Young Yang (ORCID: https://orcid.org/0000-0003-4766-3752)
- Jung Kim (ORCID: https://orcid.org/0000-0001-9509-0851)
- Ji Min Choi (ORCID: https://orcid.org/0000-0001-8611-4647)
- Jinbae Park (ORCID: https://orcid.org/0009-0003-6635-0345)
- Hong Sub Lee (ORCID: https://orcid.org/0000-0002-2962-0209)
- Soonwhan Kang (ORCID: https://orcid.org/0009-0005-0262-5850)
Institutions
- Seoul National University Hospital (KR)
- Inje University Busan Paik Hospital (KR)
- Pusan National University Hospital (KR)
- IDEX Corporation (United States) (US)
Publication Details
- Journal
- Gut and Liver
- Published
- 2025-11-27
- DOI
- https://doi.org/10.5009/gnl250331
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea