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New research · Radiology
Nature biomedical engineering · 1d
AI / informaticsNature biomedical engineering · 2026

CLEAR: an auditable foundation model for radiology grounded in clinical concepts.

Tianyu Han, Riga Wu, Yu Tian … Daniel Truhn
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RadiologyAI / informatics

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.

“
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.

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