MI-CXR is a new benchmark that shows state-of-the-art vision-language models achieve only 29.3% accuracy on longitudinal reasoning tasks across multi-visit chest X-ray sequences.
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This review summarizes how large language models are being used for workflow automation, clinical decision support, and patient engagement in radiation oncology.
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MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays
MI-CXR is a new benchmark that shows state-of-the-art vision-language models achieve only 29.3% accuracy on longitudinal reasoning tasks across multi-visit chest X-ray sequences.
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Applications of Large Language Models in Radiation Oncology: From Workflow Automation to Clinical Intelligence
This review summarizes how large language models are being used for workflow automation, clinical decision support, and patient engagement in radiation oncology.