Comparative Analysis of the Accuracy of Large Language Models in Addressing Common Pulmonary Embolism Patient Questions

被引：0
|
作者：
Rosenzveig, Akiva [1 ]
Kassab, Joseph [1 ]
Sul, Lidiya [1 ]
Angelini, Dana [2 ]
Chaudhury, Pulkit [1 ]
Sarraju, Ashish [1 ]
Tefera, Leben [1 ]
机构：
[1] Cleveland Clin, Sydell & Arnold Miller Family Heart Vasc & Thorac, Robert & Suzanne Tomsich Dept Cardiovasc Med, Cleveland, OH USA
[2] Cleveland Clin Fdn, Taussig Canc Inst, Dept Hematol & Med Oncol, Cleveland, OH USA
来源：
JOURNAL OF THE AMERICAN HEART ASSOCIATION | 2024年 / 13卷 / 21期
关键词：
artificial intelligence; chatbots; pulmonary embolism; CARE;
D O I：
10.1161/JAHA.124.036979
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页数：3
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