机构：[1]School of Social Sciences, Tsinghua University, Beijing, China[2]Center for Data-Driven Discovery(CD3), Kavli Institute for the Physics and Mathematics of the Universe(Kavli IPMU), University of Tokyo, Kashiwa, Japan.
We commend Huang et al.1 for their study on using ChatGPT to predict glaucoma, which shows the great potential of large language models (LLMs) in disease prediction. Recently, there has been an increase in such research2 . As social science researchers studying medical AI, we want to take a step back in the discussion of this issue: Why can LLMs predict diseases? Are their results reliable for doctors and patients? To dicuss this, we need to examine LLMs' data sources and technical logic.
基金：
China Scholarship Council (No. 202306210230).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2023]版：
大类|1 区医学
小类|1 区眼科学
最新[2025]版：
大类|1 区医学
小类|1 区眼科学
第一作者：
第一作者机构：[1]School of Social Sciences, Tsinghua University, Beijing, China[2]Center for Data-Driven Discovery(CD3), Kavli Institute for the Physics and Mathematics of the Universe(Kavli IPMU), University of Tokyo, Kashiwa, Japan.
通讯作者：
通讯机构：[1]School of Social Sciences, Tsinghua University, Beijing, China[2]Center for Data-Driven Discovery(CD3), Kavli Institute for the Physics and Mathematics of the Universe(Kavli IPMU), University of Tokyo, Kashiwa, Japan.
推荐引用方式(GB/T 7714)：
Wang Shuo.Comment on: Predicting glaucoma before onset using a large language model chatbot[J].American Journal Of Ophthalmology.2024,doi:10.1016/j.ajo.2024.06.035.
APA：
Wang Shuo.(2024).Comment on: Predicting glaucoma before onset using a large language model chatbot.American Journal Of Ophthalmology,,
MLA：
Wang Shuo."Comment on: Predicting glaucoma before onset using a large language model chatbot".American Journal Of Ophthalmology .(2024)
医学