Accuracy of Vitreoretinal Disease Information From an Artificial Intelligence Chatbot

被引：24

作者：

Caranfa, Jonathan T. ^{[1
]}

Bommakanti, Nikhil K. ^{[2
]}

Young, Benjamin K. ^{[3
]}

Zhao, Peter Y.

机构：

[1] Tufts Univ, Dept Ophthalmol, New England Eye Ctr, Sch Med, Boston, MA USA

[2] Univ Michigan, Dept Ophthalmol & Visual Sci, WK Kellogg Eye Ctr, Med Sch, Ann Arbor, MI USA

[3] Oregon Hlth & Sci Univ, Casey Eye Inst, Dept Ophthalmol, Portland, OR USA

来源：

JAMA OPHTHALMOLOGY | 2023年 / 141卷 / 09期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1001/jamaophthalmol.2023.3314

中图分类号：

R77 [眼科学];

学科分类号：

100212 ;

摘要：

This cross-sectional study compares 2 sets of responses by 1 chatbot to frequently asked questions about vitreoretinal conditions and procedures.

引用

页码：906 / 907

页数：2

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