Comparative analysis of clinical relevance and accuracy in AI-assisted patient consultations on ankle and clavicle fracture surgeries.
Journal:
Injury
Published Date:
Jul 1, 2025
Abstract
BACKGROUND: It is becoming increasingly important to evaluate the effectiveness of large language models (LLMs) and query-assisted platforms like Google and ChatGPT in providing clinically relevant and accurate information to patient-initiated inquiries. Limited studies have characterized the performance of these platforms on semi-elective orthopedic trauma surgeries. This study evaluates the function of both interactive online models on frequently queried patient searches on ankle and clavicle fracture operations.