医学
医疗保健
骨科手术
生成语法
医学教育
人工智能
外科
经济
经济增长
计算机科学
作者
Sean Pirkle,JaeWon Yang,Todd J. Blumberg
出处
期刊:Journal of Pediatric Orthopaedics
[Ovid Technologies (Wolters Kluwer)]
日期:2024-08-22
标识
DOI:10.1097/bpo.0000000000002797
摘要
Artificial intelligence (AI), and in particular large language models (LLMs) such as Chat Generative Pre-Trained Transformer (ChatGPT) and Gemini have provided additional resources for patients to research the management of healthcare conditions, for their own edification and the advocacy in the care of their children. The accuracy of these models, however, and the sources from which they draw conclusions, have been largely unstudied in pediatric orthopaedics. This research aimed to assess the reliability of machine learning tools in providing appropriate recommendations for the care of common pediatric orthopaedic conditions.
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