Accuracy of Large Language Models for Infective Endocarditis Prophylaxis in Dental Procedures.

ABSTRACT:

Purpose

Infective endocarditis (IE) is a serious, life-threatening condition requiring antibiotic prophylaxis for high-risk individuals undergoing invasive dental procedures. As LLMs are rapidly adopted by dental professionals for their efficiency and accessibility, assessing their accuracy in answering critical questions about antibiotic prophylaxis for IE prevention is crucial.

Methods

Twenty-eight true/false questions based on the 2021 American Heart Association (AHA) guidelines for IE were posed to 7 popular LLMs. Each model underwent five independent runs per question using two prompt strategies: a pre-prompt as an experienced dentist and without a pre-prompt. Inter-model comparisons utilised the Kruskal-Wallis test, followed by post-hoc pairwise comparisons using Prism

SUBMITTER: Rewthamrongsris P 

PROVIDER: S-EPMC11806337 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature