-
1
Large language models (LLMs) like ChatGPT, Gemini, and Claude are increasingly used for health information, especially regarding periprosthetic fractures.
-
2
Periprosthetic femoral fractures after total hip arthroplasty are significant complications linked to high morbidity, mortality, and healthcare costs.
-
3
A study compared responses from ChatGPT, Gemini, and Claude to standardized questions about periprosthetic fractures, focusing on accuracy and quality.
-
4
The evaluation involved a set of 25 questions addressing key patient concerns related to periprosthetic fractures, assessed by an expert panel.
-
5
The study aimed to provide insights into the safety, readability, and quality of LLM-generated responses for high-risk clinical inquiries.
