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CUPID-Med: Conformal Uncertainty-aware Prototype Discovery for Clinically Interpretable Deep Medical Clustering

2026-07-07

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<title>Abstract</title> <p>Deep medical clustering aims to discover latent disease subgroups from unlabeled medical data. However, most existing approaches produce deterministic cluster assignments and provide limited mechanisms for calibrated uncertainty communication or clinical interpretation. This paper proposes CUPID-Med, a conformal uncertainty-aware prototype discovery framework for clinically interpretabl...

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Literature Corpus work: 12075c12-ad91-5c23-89a3-e948937ad69d
DOI: 10.21203/rs.3.rs-10047883/v1

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