Performance Benchmarking of Open-Source Large Language Models on the Brazilian Society of Cardiology's Certification Exam
Background: Large language models (LLMs) have made a significant impact in medicine and demonstrate substantial promise for further development. However, most of the existing research has predominantly centered on English-language tasks with lower medical complexity. This underscores the importance of investigating the performance of state-of-the-art LLMs in more complex specialties, such as cardiology, and in languages beyond English, such as Portuguese. Objective: This study aimed to evaluate and compare leading LLMs based on their performance on the validated cardiology [...]
Authors
- Gustavo Lenci Marques (ORCID: https://orcid.org/0000-0002-6057-0350)
- José Knopfholz (ORCID: https://orcid.org/0000-0002-6537-7568)
- Mariana Romão Veiga
- João Victor Bruneti Severino (ORCID: https://orcid.org/0000-0002-8649-6494)
- Pedro Angelo Basei de Paula
- Matheus Nespolo Berger
- Solano Amadori Todeschini (ORCID: https://orcid.org/0000-0003-3738-7563)
- Eduardo Augusto Roeder (ORCID: https://orcid.org/0000-0002-1016-3319)
- Filipe Silveira Loures (ORCID: https://orcid.org/0000-0002-7574-8254)
Publication Details
- Journal
- International Journal of Cardiovascular Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.36660/ijcs.20240231
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65