Optimizing Colorectal Polyp Screening: A Novel Artificial Intelligence‐Assisted Colonoscopy Diagnostic System Based on NICE Classification
The optimized CAD-N-Pro model enhances optical diagnostic accuracy for colorectal polyps, providing a robust tool for clinical decision-making in real-time colonoscopy examinations.
Authors
- Zheng Zhongqing
- Wei Gao (ORCID: https://orcid.org/0000-0001-7814-3712)
- Yue Feng (ORCID: https://orcid.org/0000-0001-6740-979X)
- Mo Yang (ORCID: https://orcid.org/0000-0002-3863-8187)
- Bangmao Wang (ORCID: https://orcid.org/0000-0003-2796-1584)
- Jiachen Sun (ORCID: https://orcid.org/0000-0002-4042-1200)
- Lin Lin (ORCID: https://orcid.org/0000-0002-2533-2103)
- Xin Chen (ORCID: https://orcid.org/0000-0003-3024-9053)
- Yufeng Wang (ORCID: https://orcid.org/0000-0003-0448-325X)
- Yan Song (ORCID: https://orcid.org/0000-0001-7050-4368)
- Xin Xu
- Yao Shuangzhe
- Mu Jinbao
- Hui Yangyang
Institutions
- Sun Yat-sen University (CN)
- Tianjin Academy of Fine Arts (CN)
- Tianjin Medical University General Hospital (CN)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
- County Hospital (GB)
Publication Details
- Journal
- Journal of Gastroenterology and Hepatology
- Published
- 2025-12-03
- DOI
- https://doi.org/10.1111/jgh.70198
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tianjin Municipal Health Commission
- Tianjin Medical University