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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.

Artificial intelligence for medical imaging is required to be accurate and interpretable to clinicians. However, current multimodal biomedical foundation models often prioritize performance over explainability. Here we present ConceptCLIP, an explainable biomedical foundation model that achieves state-of-the-art diagno...

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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