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

页数：3

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