Clinical Efficacy of Real-Time Artificial Intelligence-Assisted Colonoscopy in Colorectal Polyp Detection: A Prospective Multicenter Randomized Controlled Trial
Real-time CADe-assisted colonoscopy significantly increased PDR and ADR and proved to be a strong independent predictor of adenoma detection (cris.nih.go.kr, KCT0009664).
Authors
- Han Jo Jeon (ORCID: https://orcid.org/0000-0003-2258-1216)
- Yoon Tae Jeen (ORCID: https://orcid.org/0000-0003-0220-3816)
- Bomee Lee (ORCID: https://orcid.org/0009-0003-6519-4168)
- Bora Keum (ORCID: https://orcid.org/0000-0003-0391-1945)
- Chang Mo Moon (ORCID: https://orcid.org/0000-0003-2550-913X)
- Eui Sun Jeong (ORCID: https://orcid.org/0000-0001-8569-9380)
- Jae Min Lee (ORCID: https://orcid.org/0000-0001-9553-5101)
- Sang Hyun Kim (ORCID: https://orcid.org/0000-0003-2214-5182)
- Seong‐Eun Kim (ORCID: https://orcid.org/0000-0002-6310-5366)
- Eun Sun Kim (ORCID: https://orcid.org/0000-0003-1820-459X)
- Hyuk Soon Choi (ORCID: https://orcid.org/0000-0002-4343-6950)
Institutions
- Ewha Womans University (KR)
- Korea University (KR)
- Gibson Area Hospital and Health Services (US)
Publication Details
- Journal
- Gut and Liver
- Published
- 2025-11-27
- DOI
- https://doi.org/10.5009/gnl250369
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Korea Medical Device Development Fund