Development and validation of an artificial intelligence-assisted system for automatic Boston scoring of bowel cleanliness in colonoscopy (with video)
The AutoBBPS system, developed using YOLOv11, provides real-time and cumulative BBPS scoring for every video frame, effectively assisting endoscopists in improving scoring efficiency and accuracy. Additionally, the intelligent BBPS teaching assistant is particularly beneficial for junior endoscopists, promoting standardized training and enhancing overall scoring quality.
Authors
- Kaijian Xia (ORCID: https://orcid.org/0009-0004-4688-9009)
- Jingzhi Xu (ORCID: https://orcid.org/0000-0002-8118-6016)
- Qiuwen Hua
- Ganhong Wang
- Xiaodan Xu
- Jian Chen
Institutions
- Nanjing University of Chinese Medicine (CN)
- Soochow University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Second Affiliated Hospital of Soochow University (CN)
- Suzhou Traditional Chinese Medicine Hospital (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2026-01-02
- DOI
- https://doi.org/10.3389/fpubh.2025.1708325
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00