Potential Multidisciplinary Use of Large Language Models for Addressing Queries in Cardio-Oncology
J Am Heart Assoc
.
2024 Mar 19;13(6):e033584.
doi: 10.1161/JAHA.123.033584.
Epub 2024 Mar 18.
Authors
Pengfei Li
1
,
Xuejuan Zhang
1
,
Erjia Zhu
2
,
Shijun Yu
3
,
Bin Sheng
4
,
Yih Chung Tham
5
6
,
Tien Yin Wong
6
7
,
Hongwei Ji
7
Affiliations
1
Department of General Medicine The Affiliated Hospital of Qingdao University Qingdao China.
2
Department of Thoracic Surgery Shanghai Pulmonary Hospital, Tongji University School of Medicine Shanghai China.
3
Department of Oncology Shanghai East Hospital, Tongji University School of Medicine Shanghai China.
4
Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China.
5
Yong Loo Lin School of Medicine National University of Singapore Singapore City Singapore.
6
Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore; Duke-NUS Medical School Singapore City Singapore.
7
Tsinghua Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine Tsinghua University Beijing China.
PMID:
38497458
PMCID:
PMC11010006
DOI:
10.1161/JAHA.123.033584
No abstract available
Keywords:
ChatGPT; Claude 2; Google Bard; cardio‐oncology; large language models.
MeSH terms
Cardio-Oncology*