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

CARE-X is a research model from Microsoft Research that combines generative and discriminative capabilities for chest X-ray interpretation, using reinforcement learning (DAPO) and tool-augmented measurement to support diverse clinical tasks while improving clinical accuracy and calibration.

It is not a product and is not intended for clinical use; it is a research exploration only.