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University of Vir- ginia
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Combining multimodal data with descriptive language boosts error detection in robot-assisted surgery by over 16%, highlighting the power of context in surgical precision.
Training on synthetically generated multi-party medical dialogues closes the gap in accuracy, timeliness, and stability for conversational diagnosis prediction.
