Article

A Survey of Contrastive Learning in Medical AI: Foundations, Biomedical Modalities, and Future Directions

2025-12-26

Abstract excerpt

Medical artificial intelligence (AI) systems depend heavily on high-quality data representations to enable accurate prediction, diagnosis, and clinical decision-making. Yet, the availability of large, well-annotated medical datasets is often limited by cost, privacy concerns, and the need for expert labeling, motivating increased interest in self-supervised representation learning approaches. Among these, contrast...

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Literature Corpus work: e98d28b6-c256-50a4-95e6-c69030046979
DOI: 10.20944/preprints202512.2393.v1

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