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Artificial Intelligence in Triaging Patient Questions: An Evaluation of a Large Language Model for Distal Radius Fractures
0
Zitationen
8
Autoren
2025
Jahr
Abstract
KIMI generated responses that were generally safe, clinically concordant, and clearly communicated. These findings support the feasibility of deploying enhanced LLMs for asynchronous patient engagement in low-to-moderate risk care coordination settings.
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