Development and application of an artificial intelligence-assisted endoscopic system for automatic and accurate diagnosis of colorectal ulcers
An AI-assisted endoscopic diagnostic system that accurately differentiates CD, UC, BD, ITB, and PIL was developed, which may contribute to improving diagnostic precision for colorectal ulcerative diseases.
Authors
- Shuigeng Zhou (ORCID: https://orcid.org/0000-0002-1949-2768)
- Xiaoyu Li (ORCID: https://orcid.org/0000-0001-8017-207X)
- Zhihang Yu
- Xinyuan Liu (ORCID: https://orcid.org/0000-0002-3914-9035)
- Yiping Xin
- Xiaohan Yu (ORCID: https://orcid.org/0009-0008-9931-4662)
Institutions
- Qingdao University (CN)
- Fudan University (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- International Journal of Colorectal Disease
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1007/s00384-025-05029-y
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Qingdao University