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Y. L. T. Bayala

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Open access Sep 2026

A structured exploratory multidisciplinary evaluation of four large language models responding to frequently asked patient questions about pregabalin

Large Language Models (LLMs) are increasingly consulted by millions of patients seeking pharmaceutical information, yet their reliability and safety in providing medication-related advice remain inadequately evaluated. This study assessed the performance of four leading LLMs in responding to frequently asked questions...

Y. L. T. Bayala, I. A. Tinni, Thierry Boris Wend-Yam Yaméogo et al. · 0 citations
Open access Jul 2026

Quality of AI-generated exercise awareness messages for older adults aligned with the ICFSR consensus: a comparative study of three LLMs.

LLMs, particularly Claude, ChatGPT-4 and Deepseek demonstrate strong potential for generating accurate, safe, and hallucination-free exercise awareness messages for older adults, however, readability remains above recommended levels, requiring optimization.

Y. L. T. Bayala, L. Ouedraogo, A. Cissé et al. · 0 citations

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