Site Logo
  1. Home
  2. Past Issues
  3. Summary Vol.89 Issue 2 / 2026
  4. Article
Original Articles
Visualizações

Arq. Bras. Oftalmol. 2026; 89 (2): 10.5935/0004-2749.2025-0113

Total: 451

Performance of generative large language models in answering questions from the Brazilian Retina and Vitreous Society certification exam

Adriano Cypriano Faneli1; Ricardo Danilo Chagas Oliveira2; Luis Filipe Nakayama1; Rodrigo Amaral Torres2; Cristina Muccioli1; Caio Vinicius Saito Regatieri1

DOI: 10.5935/0004-2749.2025-0113

1. Universidade Federal de São Paulo, São Paulo, SP, Brazil
2. Universidade Federal da Bahia, Salvador, BA, Brazil

Corresponding author

Adriano Cypriano Faneli
E-mail: [email protected]

Funding: This study received no specific financial support.

Disclosure of potential conflicts of interest: The authors declare no potential conflicts of interest.


Print PDF English
Open Access
Share

How to cite this article:

Faneli AC, Oliveira RDC, Nakayama LF, Torres RA, Muccioli C, Regatieri CVS. Performance of generative large language models in answering questions from the Brazilian Retina and Vitreous Society certification exam. Arq. Bras. Oftalmol. 2026;89(2):. 10.5935/0004-2749.2025-0113
Export citation