Sep 2026· Odontology : official journal of The Society of the Nippon Dental University· 0 citations· 20 references
Medicine
TL;DR
Findings support the cautious integration of LLMs into clinical practice and endodontic education while underscoring the need for human oversight, as well as assessing domain-specific error patterns.
Objectives: This study aimed to compare the performance of DeepSeek-V3, ChatGPT 4.0, ChatGPT 4.5, Gemini Advanced 2.0, and Grok in answering single-correct answer multiple-choice (SCQ), multiple-correct answer multiple-choice (MCQ), binary (true/false) (BQ), and open-ended questions (OEQ) based on the European Society...
BACKGROUND
large language models (LLMs) are increasingly used for public health information, but their performance in nutrition advice for cirrhosis remains uncertain. We investigated four LLMs in answering public questions about cirrhosis nutrition across safety, accuracy, empathy, information reliability and quality,...
Jun-Zheng Li, Ying-Jie Wu, Man Yang et al.· Nutrición Hospitalaria· 0 citations
emporary LLMs provide uniformly accurate and clinically safe responses to patient-focused periodontal misconceptions, with scores consistently concentrated at the ceiling, however, absolute readability metrics demonstrate that AI-generated outputs consistently exceed standard public health literacy comprehension levels...
İsmail Gül, Resül Çolak, Merve Küçükoğlu Çolak et al.· Diagnostics· 0 citations
Significant limitations persist in safety warning compliance, response comprehensiveness, and hallucination rate for selected basic pharmaceutical questions, and significant limitations persist in safety warning compliance, response comprehensiveness, and hallucination rate.
Y. L. T. Bayala, I. A. Tinni, Thierry Boris Wend-Yam Yaméogo et al.· Discover Artificial Intellig...· 0 citations
BACKGROUND
Large language models are increasingly used to obtain medical information, but their performance in juvenile systemic lupus erythematosus remains insufficiently characterized.
OBJECTIVE
To compare expert-rated response quality and clinical relevance across 4 artificial intelligence (AI) models using standa...
Ufuk Furkan Ozdemir, Serpil Meric Toprak, Aybüke Günalp et al.· Journal of clinical rheumato...· 0 citations
Objective: To evaluate the accuracy of responses provided by large language model (LLM)-based next-generation generative artificial intelligence (AI) tools regarding early childhood caries (ECC) and to examine their performance in terms of temporal consistency.Method: Twenty-one true/false questions on ECC, developed i...
M. Şahin· Mersin Üniversitesi Tıp Fakü...· 0 citations
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