Performance Comparison of Large Language Models on Brazil’s Medical Revalidation Exam for Foreign-Trained Graduates

Performance Comparison of Large Language Models on Brazil’s Medical Revalidation Exam for Foreign-Trained Graduates

This study aimed to compare the performance of various Large Language Models (LLMs) in answering multiple-choice questions from the last six editions (2017 to 2024) of Revalida exam. The evaluation focused on models capable of processing content in Brazilian Portuguese (PT-BR), including open-source...

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Bibliographic Details
Main Authors: Renato Freitas Bessa, Adonias Caetano de Oliveira, Rafael Freitas Bessa, Daniel Lima Sousa, Rafaela Alves, Amanda Barbosa, Alinne Carneiro, Carla Soares, Ariel Soares Teles
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
health informatics
artificial intelligence
large language model, LLMs
performance analysis
medical licensing
medical education
Online Access:https://www.mdpi.com/2076-3417/15/13/7134
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