Microsoft Research·· 2026-08-12
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
中文摘要
放射科人工智能正在超越报告生成。CARE-X 探索一种统一的方法，结合灵活的推理、校准的预测和基于测量的工具，用于胸部X光片的解读。帖子《介绍CARE-X：通过辅助监督、奖励对齐学习和工具增强测量，迈向临床有用的放射科视觉语言模型》首先发布在微软研究院。
英文原文
Radiology AI is evolving beyond report generation. CARE-X explores a unified approach that combines flexible reasoning, calibrated predictions, and measurement-based tools for chest X-ray interpretation. The post Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement appeared first on Microsoft Research .
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来源：Microsoft Research · microsoft.com