TY  - JOUR
AU  - Prazeres, Filipe
PY  - 2025
DA  - 2025/3/5
TI  - ChatGPT’s Performance on Portuguese Medical Examination Questions: Comparative Analysis of ChatGPT-3.5 Turbo and ChatGPT-4o Mini
JO  - JMIR Med Educ
SP  - e65108
VL  - 11
KW  - ChatGPT-3.5 Turbo
KW  - ChatGPT-4o mini
KW  - medical examination
KW  - European Portuguese
KW  - AI performance evaluation
KW  - Portuguese
KW  - evaluation
KW  - medical examination questions
KW  - examination question
KW  - chatbot
KW  - ChatGPT
KW  - model
KW  - artificial intelligence
KW  - AI
KW  - GPT
KW  - LLM
KW  - NLP
KW  - natural language processing
KW  - machine learning
KW  - large language model
AB  - Background: Advancements in ChatGPT are transforming medical education by providing new tools for assessment and learning, potentially enhancing evaluations for doctors and improving instructional effectiveness. Objective: This study evaluates the performance and consistency of ChatGPT-3.5 Turbo and ChatGPT-4o mini in solving European Portuguese medical examination questions (2023 National Examination for Access to Specialized Training; Prova Nacional de Acesso à Formação Especializada [PNA]) and compares their performance to human candidates. Methods: ChatGPT-3.5 Turbo was tested on the first part of the examination (74 questions) on July 18, 2024, and ChatGPT-4o mini on the second part (74 questions) on July 19, 2024. Each model generated an answer using its natural language processing capabilities. To test consistency, each model was asked, “Are you sure?” after providing an answer. Differences between the first and second responses of each model were analyzed using the McNemar test with continuity correction. A single-parameter t test compared the models’ performance to human candidates. Frequencies and percentages were used for categorical variables, and means and CIs for numerical variables. Statistical significance was set at P<.05. Results: ChatGPT-4o mini achieved an accuracy rate of 65% (48/74) on the 2023 PNA examination, surpassing ChatGPT-3.5 Turbo. ChatGPT-4o mini outperformed medical candidates, while ChatGPT-3.5 Turbo had a more moderate performance. Conclusions: This study highlights the advancements and potential of ChatGPT models in medical education, emphasizing the need for careful implementation with teacher oversight and further research. 
SN  - 2369-3762
UR  - https://mededu.jmir.org/2025/1/e65108
UR  - https://doi.org/10.2196/65108
DO  - 10.2196/65108
ID  - info:doi/10.2196/65108
ER  -