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Found 2 papers, 2 papers with code
Multi-modal vision-language model for generalizable annotation-free pathological lesions localization and clinical diagnosis
Defining pathologies automatically from medical images aids the understanding of the emergence and progression of diseases, and such an ability is crucial in clinical diagnostics.
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
During the diagnostic process, clinicians leverage multimodal information, such as chief complaints, medical images, and laboratory-test results.
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