一致性
骨关节炎
人气
医学
物理疗法
心理学
替代医学
内科学
病理
社会心理学
作者
JaeWon Yang,Kyle S. Ardavanis,Katherine Slack,Navin D. Fernando,Craig J. Della Valle,Nicholas M. Hernandez
标识
DOI:10.1016/j.arth.2024.01.029
摘要
Advancements in artificial intelligence (AI) have led to the creation of large language models (LLMs), such as Chat Generative Pretrained Transformer (ChatGPT) and Bard, that analyze online resources to synthesize responses to user queries. Despite their popularity, the accuracy of LLM responses to medical questions remains unknown. This study aimed to compare the responses of ChatGPT and Bard regarding treatments for hip and knee osteoarthritis with the American Academy of Orthopaedic Surgeons (AAOS) Evidence-Based Clinical Practice Guidelines (CPGs) recommendations.
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