Popular large language model chatbots’ accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries

In light of growing interest in using emerging large language models (LLMs) for self-diagnosis, we systematically assessed the performance of ChatGPT-3.5, ChatGPT-4.0, and Google Bard in delivering proficient responses to 37 common inquiries regarding ocular symptoms. Responses were masked, randomly...

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Detalles Bibliográficos
Autores principales: Pushpanathan, Krithi, Lim, Zhi Wei, Er Yew, Samantha Min, Chen, David Ziyou, Hui'En Lin, Hazel Anne, Lin Goh, Jocelyn Hui, Wong, Wendy Meihua, Wang, Xiaofei, Jin Tan, Marcus Chun, Chang Koh, Victor Teck, Tham, Yih-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616302/
https://www.ncbi.nlm.nih.gov/pubmed/37915603
http://dx.doi.org/10.1016/j.isci.2023.108163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616302/
https://www.ncbi.nlm.nih.gov/pubmed/37915603
http://dx.doi.org/10.1016/j.isci.2023.108163

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