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A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics - Nature Biomedical Engineering
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During the diagnostic process, clinicians leverage multimodal information, such as the chief complaint, medical images and laboratory test results. Deep-learning models for aiding diagnosis have yet to meet this requirement of leveraging multimodal information. Here we report a transformer-based representation-learning model as a clinical diagnostic aid that processes multimodal input in a unified manner.
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