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Evaluating large language models in patient education on facial plastic surgery: a standardized protocol
0
Zitationen
4
Autoren
2025
Jahr
Abstract
By systematically assessing the responses of multiple LLMs to patient inquiries on facial plastic surgery, this study will provide insights into their reliability and clinical applicability. Findings may help refine LLM-based tools for patient education and identify areas requiring improvement to ensure safe and effective AI-assisted communication in plastic surgery.
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