Researchers from Stanford Introduce CheXagent: An Instruction-Tuned Foundation Model Capable of Analyzing and Summarizing Chest X-rays

Artificial Intelligence (AI), particularly through deep learning, has revolutionized many fields, including machine translation, natural language understanding, and computer vision. The field of medical imaging, specifically chest X-ray (CXR) interpretation, is no exception. CXRs, the most frequently performed diagnostic imaging tests, hold immense clinical significance. The advent of vision-language foundation models (FMs) has opened new […]

The post Researchers from Stanford Introduce CheXagent: An Instruction-Tuned Foundation Model Capable of Analyzing and Summarizing Chest X-rays appeared first on MarkTechPost.

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