Comparative analysis of language models in addressing syphilis-related queries
LLMs hold promise for disseminating syphilis information, but human oversight is crucial. AI models need refinement to improve their accuracy, especially in complex medical scenarios.
Authors
- Fabiana Ferreira de Souza (ORCID: https://orcid.org/0000-0003-4721-1801)
- H Martelli-Júnior
- L.J.M. Guimarães
- L-M Ferreira
- Pablo Agustín Vargas (ORCID: https://orcid.org/0000-0003-1840-4911)
- Lucas Lacerda de Souza (ORCID: https://orcid.org/0000-0002-9481-7796)
- MA. Lopes
- J-P Nascimento
Institutions
- Forest Science and Research Institute (BR)
Publication Details
- Journal
- Medicina oral, patología oral y cirugía bucal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4317/medoral.27092
- Citations
- 1
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 5.34
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais