Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard

BACKGROUND: Large language models (LLMs) are garnering wide interest due to their human-like and contextually relevant responses. However, LLMs’ accuracy across specific medical domains has yet been thoroughly evaluated. Myopia is a frequent topic which patients and parents commonly seek information...

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Detalles Bibliográficos
Autores principales: Lim, Zhi Wei, Pushpanathan, Krithi, Yew, Samantha Min Er, Lai, Yien, Sun, Chen-Hsin, Lam, Janice Sing Harn, Chen, David Ziyou, Goh, Jocelyn Hui Lin, Tan, Marcus Chun Jin, Sheng, Bin, Cheng, Ching-Yu, Koh, Victor Teck Chang, Tham, Yih-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470220/
https://www.ncbi.nlm.nih.gov/pubmed/37625267
http://dx.doi.org/10.1016/j.ebiom.2023.104770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470220/
https://www.ncbi.nlm.nih.gov/pubmed/37625267
http://dx.doi.org/10.1016/j.ebiom.2023.104770

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