Analyzing the precision and readability of a healthcare focused artificial intelligence platform on common questions regarding breast augmentation
Carter J. Boyd,
Lucas R. Perez Rivera,
Kshipra Hemal
et al.
Abstract:Aim: The purpose of this study was to determine the quality and accessibility of the outputs from a healthcare-specific artificial intelligence (AI) platform for common questions during the perioperative period for a common plastic surgery procedure.
Methods: Doximity GPT (Doximity, San Francisco, CA) and ChatGPT 3.5 (OpenAI, San Francisco, CA) were utilized to search 20 common perioperative patient inquiries regarding breast augmentation. The structure, content, and readability of responses were c… Show more
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