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CheXagent is a chest X-ray interpretation tool based on the visual language basic model. It leverages clinical large-scale language models to parse radiology reports, visual encoders to represent X-ray images, and designs a network to bridge visual and language modalities. In addition, CheXagent also introduces CheXbench, a new benchmark designed to systematically evaluate the performance of visual language-based models on eight clinically relevant chest X-ray interpretation tasks. After extensive quantitative evaluation and qualitative review with five expert radiologists, CheXagent outperformed previously developed general and medical-domain base models on the CheXbench task.
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