%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 26
%N 
%P e54607
%T Multimodal ChatGPT-4V for Electrocardiogram Interpretation: Promise and Limitations
%A Zhu,Lingxuan
%A Mou,Weiming
%A Wu,Keren
%A Lai,Yancheng
%A Lin,Anqi
%A Yang,Tao
%A Zhang,Jian
%A Luo,Peng
%+ Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China, 86 020 61643888, luopeng@smu.edu.cn
%K ChatGPT
%K ECG
%K electrocardiogram
%K multimodal
%K artificial intelligence
%K AI
%K large language model
%K diagnostic
%K quantitative analysis
%K clinical
%K clinicians
%K ECG interpretation
%K cardiovascular care
%K cardiovascular
%D 2024
%7 26.6.2024
%9 Research Letter
%J J Med Internet Res
%G English
%X This study evaluated the capabilities of the newly released ChatGPT-4V, a large language model with visual recognition abilities, in interpreting electrocardiogram waveforms and answering related multiple-choice questions for assisting with cardiovascular care.
%M 38764297
%R 10.2196/54607
%U https://www.jmir.org/2024/1/e54607
%U https://doi.org/10.2196/54607
%U http://www.ncbi.nlm.nih.gov/pubmed/38764297