Research · Microsoft Research ·

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

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 measurement-based tools to support reasoning beyond report generation.

Read the full story at Microsoft Research →