Your browser doesn't support javascript.
loading
Potential Multidisciplinary Use of Large Language Models for Addressing Queries in Cardio-Oncology.
Li, Pengfei; Zhang, Xuejuan; Zhu, Erjia; Yu, Shijun; Sheng, Bin; Tham, Yih Chung; Wong, Tien Yin; Ji, Hongwei.
Affiliation
  • Li P; Department of General Medicine The Affiliated Hospital of Qingdao University Qingdao China.
  • Zhang X; Department of General Medicine The Affiliated Hospital of Qingdao University Qingdao China.
  • Zhu E; Department of Thoracic Surgery Shanghai Pulmonary Hospital, Tongji University School of Medicine Shanghai China.
  • Yu S; Department of Oncology Shanghai East Hospital, Tongji University School of Medicine Shanghai China.
  • Sheng B; Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China.
  • Tham YC; Yong Loo Lin School of Medicine National University of Singapore Singapore City Singapore.
  • Wong TY; Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore; Duke-NUS Medical School Singapore City Singapore.
  • Ji H; Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore; Duke-NUS Medical School Singapore City Singapore.
J Am Heart Assoc ; 13(6): e033584, 2024 Mar 19.
Article in En | MEDLINE | ID: mdl-38497458
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardio-Oncology Language: En Journal: J Am Heart Assoc / Journal of the American Heart Association / Journal of the American Heart Association. Cardiovascular and cerebrovascular disease Year: 2024 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardio-Oncology Language: En Journal: J Am Heart Assoc / Journal of the American Heart Association / Journal of the American Heart Association. Cardiovascular and cerebrovascular disease Year: 2024 Document type: Article Country of publication: