Large Language Models in Dental Licensing Examinations: Systematic Review and Meta-Analysis.

ABSTRACT:

Introduction and aims

This study systematically reviews and conducts a meta-analysis to evaluate the performance of various large language models (LLMs) in dental licensing examinations worldwide. The aim is to assess the accuracy of these models in different linguistic and geographical contexts. This will inform their potential application in dental education and diagnostics.

Methods

Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we conducted a comprehensive search across PubMed, Web of Science, and Scopus for studies published from 1 January 2022 to 1 May 2024. Two authors independently reviewed the literature based on the inclusion and exclusion criteria, extracted data, and evaluated the quality of the studies in accordance with

SUBMITTER: Liu M 

PROVIDER: S-EPMC11806300 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature