Your browser doesn't support javascript.
loading
Performance of ChatGPT-4 in answering questions from the Brazilian National Examination for Medical Degree Revalidation.
Gobira, Mauro; Nakayama, Luis Filipe; Moreira, Rodrigo; Andrade, Eric; Regatieri, Caio Vinicius Saito; Belfort, Rubens.
Afiliación
  • Gobira M; Instituto Paulista de Estudos e Pesquisas em Oftalmologia, Vision Institute - São Paulo (SP), Brazil.
  • Nakayama LF; Instituto Paulista de Estudos e Pesquisas em Oftalmologia, Vision Institute - São Paulo (SP), Brazil.
  • Moreira R; Massachusetts Institute of Technology, Institute for Medical Engineering and Science - Cambridge (MA), USA.
  • Andrade E; Instituto Paulista de Estudos e Pesquisas em Oftalmologia, Vision Institute - São Paulo (SP), Brazil.
  • Regatieri CVS; Universidade Federal de São Paulo, Department of Ophthalmology - São Paulo (SP), Brazil.
  • Belfort R; Universidade Federal de São Paulo, Department of Ophthalmology - São Paulo (SP), Brazil.
Rev Assoc Med Bras (1992) ; 69(10): e20230848, 2023.
Article en En | MEDLINE | ID: mdl-37792871
ABSTRACT

OBJECTIVE:

The aim of this study was to evaluate the performance of ChatGPT-4.0 in answering the 2022 Brazilian National Examination for Medical Degree Revalidation (Revalida) and as a tool to provide feedback on the quality of the examination.

METHODS:

A total of two independent physicians entered all examination questions into ChatGPT-4.0. After comparing the outputs with the test solutions, they classified the large language model answers as adequate, inadequate, or indeterminate. In cases of disagreement, they adjudicated and achieved a consensus decision on the ChatGPT accuracy. The performance across medical themes and nullified questions was compared using chi-square statistical analysis.

RESULTS:

In the Revalida examination, ChatGPT-4.0 answered 71 (87.7%) questions correctly and 10 (12.3%) incorrectly. There was no statistically significant difference in the proportions of correct answers among different medical themes (p=0.4886). The artificial intelligence model had a lower accuracy of 71.4% in nullified questions, with no statistical difference (p=0.241) between non-nullified and nullified groups.

CONCLUSION:

ChatGPT-4.0 showed satisfactory performance for the 2022 Brazilian National Examination for Medical Degree Revalidation. The large language model exhibited worse performance on subjective questions and public healthcare themes. The results of this study suggested that the overall quality of the Revalida examination questions is satisfactory and corroborates the nullified questions.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Personal de Salud Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: Rev Assoc Med Bras (1992) Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: BR / BRASIL / BRASILE / BRAZIL / BRESIL

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Personal de Salud Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: Rev Assoc Med Bras (1992) Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: BR / BRASIL / BRASILE / BRAZIL / BRESIL