Exploring the influence of endoscopist characteristics and artificial intelligence on adenoma detection in colonoscopy
Endoscopist characteristics, particularly sex and experience, and AI assistance influence ADR. Female endoscopists demonstrated superior performance in detecting lesions during colonoscopy, especially for small and proximally located lesions. AI assistance significantly enhanced the performance of male endoscopists, reducing sex-based disparities in ADR.
Authors
- Jie Pan
- Liang Huang (ORCID: https://orcid.org/0000-0003-3233-4446)
- Chenxia Zhang (ORCID: https://orcid.org/0000-0002-3795-2756)
- Dexin Gong (ORCID: https://orcid.org/0000-0003-4468-3002)
- Huang Su (ORCID: https://orcid.org/0000-0002-8946-4623)
- Jiejun Lin (ORCID: https://orcid.org/0000-0003-3594-5592)
- Lianlian Wu
- Xiao Tao
- Zehua Dong
Institutions
- University of Cambridge (GB)
- Wuhan University (CN)
- Cancer Research UK Cambridge Center (GB)
- Wenzhou Central Hospital (CN)
- Renmin Hospital of Wuhan University (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3389/fmed.2025.1720617
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Wuhan University
- Medical and Health Research Project of Zhejiang Province
- Renmin Hospital of Wuhan University