
Foundation models show impressive capabilities across tasks and modalities, outperforming traditional AI approaches often task-specific and limited by modality. In medicine, however, developing such models faces challenges due to restricted access to diverse data and strict privacy laws. While capable in specific areas, existing medical foundation models need to be improved by their focus on […]
The post FEDKIM: A Federated Knowledge Injection Framework for Enhancing Multimodal Medical Foundation Models appeared first on MarkTechPost.
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