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Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement

Microsoft Research introduces CARE-X, an approach to radiology vision-language models for chest X-ray interpretation. It combines auxiliary supervision, reward-aligned learning, calibrated predictions, and tool-based measurement.

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  1. Microsoft Research

    Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement

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