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Author

Mazlum Veysel Sili

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Open access Sep 2026

Comparative quality, accuracy, and readability of large language model responses to patient questions about robotic-assisted total knee arthroplasty.

Although Gemini 3 and DeepSeek demonstrated greater readability in selected comparisons, median responses across all models remained above recommended patient-education reading levels, and LLM-generated responses should be regarded as supplementary rather than standalone sources of patient information regarding RA-TKA.

U. Kolaç, Mazlum Veysel Sili, Orhan Mete Karademir et al. · 0 citations

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