Potential Multidisciplinary Use of Large Language Models for Addressing Queries in Cardio-Oncology

被引：1
|
作者：
Li, Pengfei [2 ]
Zhang, Xuejuan [2 ]
Zhu, Erjia [3 ]
Yu, Shijun [3 ]
Sheng, Bin [4 ,5 ]
Tham, Yih Chung [6 ,7 ]
Wong, Tien Yin [1 ,7 ,8 ]
Ji, Hongwei [1 ,8 ]
机构：
[1] Tsinghua Univ, Beijing Tsinghua Changgung Hosp, Tsinghua Med, Haidian Dist 30 Shuangqing Rd, Beijing 100084, Peoples R China
[2] Qingdao Univ, Affiliated Hosp, Dept Gen Med, Qingdao, Peoples R China
[3] Tongji Univ, Sch Med, Shanghai Pulm Hosp, Shanghai, Peoples R China
[4] Tongji Univ, Sch Med, Shanghai East Hosp, Dept Oncol, Shanghai, Peoples R China
[5] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai, Peoples R China
[6] Natl Univ Singapore, Yong Loo Lin Sch Med, Singapore City, Singapore
[7] Duke NUS Med Sch, Singapore Eye Res Inst, Singapore Natl Eye Ctr, Singapore City, Singapore
[8] Tsinghua Univ, Beijing Tsinghua Changgung Hosp, Sch Clin Med, Tsinghua Med, Beijing, Peoples R China
来源：
JOURNAL OF THE AMERICAN HEART ASSOCIATION | 2024年 / 13卷 / 06期
基金：
中国国家自然科学基金;
关键词：
cardio-oncology; ChatGPT; Claude; 2; Google Bard; large language models;
D O I：
10.1161/JAHA.123.033584
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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