多学科方法
领域(数学)
工程伦理学
转化研究
计算机科学
数据科学
管理科学
医学
政治学
工程类
病理
数学
法学
纯数学
作者
Damini Dey,Rima Arnaout,Sameer Antani,Aldo Badano,Louis Jacques,Huiqing Li,Tim Leiner,Edward Margerrison,Ravi K. Samala,Partho P. Sengupta,Sanjiv J. Shah,Piotr J. Slomka,Michelle C. Williams,W. Patricia Bandettini,Vandana Sachdev
标识
DOI:10.1016/j.jcmg.2023.05.012
摘要
Artificial intelligence (AI) promises to revolutionize many fields, but its clinical implementation in cardiovascular imaging is still rare despite increasing research. We sought to facilitate discussion across several fields and across the lifecycle of research, development, validation, and implementation to identify challenges and opportunities to further translation of AI in cardiovascular imaging. Furthermore, it seemed apparent that a multidisciplinary effort across institutions would be essential to overcome these challenges. This paper summarizes the proceedings of the National Heart, Lung, and Blood Institute-led workshop, creating consensus around needs and opportunities for institutions at several levels to support and advance research in this field and support future translation.
科研通智能强力驱动
Strongly Powered by AbleSci AI