Dataset Details
English
United States, Quincy
Stanford AIMI Shared
数据描述
Stanford AIMI Shared Datasets
stanfordaimi.azurewebsites.net
IP: 13.66.241.134
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相关论文
1Bridging the interpretability gap for medical artificial intelligence models using class-association manifold learning
Ruitao Xie•Xiaoxi He•Limai Jiang•Mini Han Wang•Jingbang Chen等 11 人
Nature Biomedical Engineering
2026
•2026/5/18
•00 p.1-18
Explainability has increasingly become a core requirement for intelligent medical devices. Current medical artificial intelligence (AI) technologies suffer from the ‘interpretability gap’ despite tremendous efforts for enhancing explainability. Here we propose class-association manifold learning, a ...
Computational scienceMachine learningMedical imagingSoftware
10.1038/S41551-026-01676-W
ISSN:2157-846X