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Examiner stratification reveals clinically relevant variability in large language model answers to endodontic patient questions

IntroductionLarge language models (LLMs) are increasingly used by patients seeking endodontic information, yet their clinical reliability and safety in patient-centred communication remain uncertain.MethodsThis study evaluated the clinical reliability and safety of three contemporary LLMs (ChatGPT G...

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Principais autores: Saeed S. Alqahtani, Hmoud Ali Algarni, Meshal Aber Alonazi, Azhar Iqbal, Osama Khattak, Ravi Jothish, Mohmed Isaqali Karobari
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2026-04-01
coleção:Frontiers in Medicine
Assuntos:
artificial intelligence
communication
decision support systems
dentistry
endodontics
natural language processing
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fmed.2026.1819087/full
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