Auditable radiology AI model trained on nearly a million image-report pairs.
CLEAR: an auditable foundation model for radiology grounded in clinical concepts.
Tianyu Han et al. · Nature biomedical engineering · 2026
Background
'Black box' deep learning models for medical image interpretation limit clinical trust and analysis of performance degradation.
Results
million
the AI model learned from nearly a million image-report pairs
n = 239,391 patients
More results
Here we introduce Concept-Level Embeddings for Auditable Radiology (CLEAR), an auditable foundation model based on clinical concepts.
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Conclusion
By integrating clinical knowledge directly into its reasoning process, CLEAR offers a framework for robust model auditing, safer deployment and enhanced physician-AI collaboration, advancing towards trustworthy medical AI.