Open access
Sep 2026
Comparative quality, accuracy, and readability of large language model responses to patient questions about robotic-assisted total knee arthroplasty.
PURPOSE To compare the information quality, accuracy, and readability of patient-directed responses generated by large language models (LLMs), including ChatGPT-o3, ChatGPT-5.2, Gemini 3, and DeepSeek, regarding robotic-assisted total knee arthroplasty (RA-TKA). METHODS Thirty frequently asked patient questions were...
U. Kolaç, Mazlum Veysel Sili, Orhan Mete Karademir et al.
· Knee (Oxford) · 0 citations