Artigo Acesso aberto Revisado por pares

Evaluating the Performance of ChatGPT in Ophthalmology

2023; Elsevier BV; Volume: 3; Issue: 4 Linguagem: Inglês

10.1016/j.xops.2023.100324

ISSN

2666-9145

Autores

Fares Antaki, Samir Touma, Daniel Milad, Jonathan El‐Khoury, Renaud Duval,

Tópico(s)

Retinal Imaging and Analysis

Resumo

Foundation models are a novel type of artificial intelligence algorithms, in which models are pretrained at scale on unannotated data and fine-tuned for a myriad of downstream tasks, such as generating text. This study assessed the accuracy of ChatGPT, a large language model (LLM), in the ophthalmology question-answering space.

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