Chatbots versus retina specialists in answering real-world retina questions
Artificial intelligence chatbots demonstrate considerable promise for rapidly disseminating accurate medical information directly to the end-user, not only in English. However, optimizing the simplicity of their language is essential to ensure that detailed responses remain accessible to a broad audience. Future research should aim to replicate our findings with larger datasets of questions with the goal of refining these systems to balance comprehensive content with user-friendly language.
Authors
- Alexandre Achille Grandinetti
- Andesson Mendes De Freitas (ORCID: https://orcid.org/0000-0001-8651-3015)
- Mario Cesar Bulla
- Pedro Carlos Carricondo (ORCID: https://orcid.org/0000-0002-2916-205X)
- Alexandre Antônio Marques Rosa (ORCID: https://orcid.org/0000-0001-5496-9704)
- Caio Augusto Scocco
- Viviane Souto Spadoni
- Gustavo Matias Hüning
Institutions
- Universidade de São Paulo (BR)
- Santa Casa Hospital (BR)
- Brazilian Computer Society (BR)
- Hospital Universitário de Santa Maria (BR)
- Hospital de Clínicas de Porto Alegre (BR)
- Centro Paulista de Investigação Clinica (BR)
- Universidade Federal do Pará (BR)
Publication Details
- Journal
- International Journal of Retina and Vitreous
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1186/s40942-025-00737-7
- Citations
- 1
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 2.48