Explainable Artificial Intelligence for the Mayo Endoscopic Score in Ulcerative Colitis
The use of an explainable framework empowers AI models to achieve improved performance with transparency. XAI can also improve endoscopist performance in interpretation of MES in UC.
Authors
- Jiaxi Lin (ORCID: https://orcid.org/0000-0003-4171-7457)
- Lihe Liu (ORCID: https://orcid.org/0009-0007-5269-8438)
- Haoxiang Ni
- Congying Xu
- Jinzhou Zhu
- Xiaolin Liu
- Shiqi Zhu
- James Weiquan Li (ORCID: https://orcid.org/0000-0002-5241-4278)
- Xianglin Ding
- Rui Li
- Yu Li
- Yu Wang
- Hang Zhao
Institutions
- Jiangsu University (CN)
- SingHealth (SG)
- Soochow University (CN)
- Suzhou Guangji Hospital (CN)
- Affiliated Hospital of Jiangsu University (CN)
- Jintan People's Hospital (CN)
- Second Affiliated Hospital of Soochow University (CN)
- First Affiliated Hospital of Soochow University (CN)
- Sengkang General Hospital (SG)
Publication Details
- Journal
- Digestion
- Published
- 2026-01-22
- DOI
- https://doi.org/10.1159/000550610
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00