Aug 2026· Odontology : official journal of The Society of the Nippon Dental University· 0 citations· 37 references
Medicine
TL;DR
Findings support the use of guideline grounding to enhance the guideline concordance and reliability of LLM-generated responses while emphasizing the continued need for clinician oversight.
LLMs demonstrated similar guideline concordance, suggesting patients can expect comparable accuracy across platforms, and LLMs generally improved FKGL scores compared to the AAO-HNS CPG, they demonstrated lower FRE scores, indicating mixed results on overall readability.
Hetal Lad, Emily S Kwon, Ayushi Chadha et al.· Journal of Otorhinolaryngolo...· 0 citations
AIM
Artificial intelligence (AI) has become an integral part of dental education and clinical practice. While several studies have assessed the performance of ChatGPT in medical exams, comparative analyses of various large language models (LLMs) in dentistry remain scarce. This study aimed to evaluate and compare the p...
N. Acar, Fatih Sengul, Periş Çelikel et al.· European journal of dental e...· 0 citations
AI models demonstrate generally high accuracy in medical examinations; however, they struggle with interpreting clinical context, recognising atypical medical scenarios and answering questions involving visual content.
Bünyamin Arı· Health Informatics Journal· 0 citations
Background/Objectives: Large language model (LLM) chatbots are increasingly used for dental information and decision support, yet their accuracy and short-term reproducibility in endodontics remain insufficiently established. This study compared five chatbots using open-ended questions derived from established AAE and...
I. İlgenli, Ezgi Avcı, Timur Köse· Dental journal· 0 citations
Artificial intelligence (AI) has advanced rapidly in healthcare, with large language models (LLMs) like ChatGPT-4o showing potential in education and clinical support. This study evaluated the performance of ChatGPT-4o on oral surgery-related questions from the Japanese National Dental Examination, focusing on how visu...
H. Fukuda, M. Morishita, O. Takahashi et al.· International Journal of Ora...· 0 citations
How well large language models (LLM) handle Turkish melanoma patient education varies widely from one model to the next, and findings suggest that LLM-generated Turkish melanoma materials may be useful as preliminary educational drafts.
Nıyazı Çetın, A. Atılan· European Journal of Therapeu...· 0 citations
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