Cedars-Sinai Medical Center, Los Angeles, California, USA.
Department of Medicine, University of California-San Francisco, San Francisco, California, USA.
JACC Cardiovasc Imaging. 2023 Sep;16(9):1209-1223. doi: 10.1016/j.jcmg.2023.05.012. Epub 2023 Jul 19.
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.
人工智能(AI)有望彻底改变许多领域,但尽管研究不断增加,其在心血管成像中的临床应用仍较为少见。我们试图促进多个领域之间的讨论,并涵盖研究、开发、验证和实施的整个生命周期,以确定进一步将人工智能转化为心血管成像的挑战和机遇。此外,显然需要跨机构的多学科努力来克服这些挑战。本文总结了美国国立心肺血液研究所(National Heart, Lung, and Blood Institute)主导的研讨会的会议记录,就各级机构在支持和推进该领域研究以及支持未来转化方面的需求和机会达成了共识。