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Author

Sunan He

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Open access Aug 2026

An explainable biomedical foundation model via large-scale concept-enhanced vision-language pretraining.

Across a large-scale benchmark covering 78 datasets in 10 imaging modalities, ConceptCLIP demonstrates superior diagnostic performance while providing human-understandable explanations, and represents a critical milestone towards the widespread clinical adoption of AI.

Yuxiang Nie, Sunan He, Yequan Bie et al. · 0 citations
Review Open access Jul 2026

The Next Paradigm in Medical AI: A Survey of Agentic AI in Biomedicine.

This survey provides a structured synthesis of how recent work connects foundation models to governable biomedical agentic systems and distills the recurring challenges and directions identified in the literature for reliable, accountable deployment.

Ali Abdollahi, Mohammad Amin Rezaei, Xi Wang et al. · 1 citation

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