Demo Summary
Advancing conversational diagnostic AI with multimodal reasoning
Research questionCan a large language model request, interpret, and reason over multimodal clinical data such as skin images, ECGs, and clinical documents during diagnostic conversations, and how does its performance compare with primary care physicians?
Main resultsMultimodal AMIE achieved significantly higher top-k diagnostic accuracy than PCPs (P<0.001). Specialist evaluation favored AMIE on 29 of 32 axes and on 7 of 9 multimodal reasoning dimensions. Patient satisfaction was comparable or better across evaluated dimensions.
ConclusionBy augmenting Gemini 2.0 Flash with a state-aware reasoning framework, multimodal AMIE achieved diagnostic accuracy and conversational quality comparable to or exceeding primary care physicians in this OSCE evaluation.
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