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机器学习在心脏病学中的应用。

Applications of Machine Learning in Cardiology.

作者信息

Seetharam Karthik, Balla Sudarshan, Bianco Christopher, Cheung Jim, Pachulski Roman, Asti Deepak, Nalluri Nikil, Tejpal Astha, Mir Parvez, Shah Jilan, Bhat Premila, Mir Tanveer, Hamirani Yasmin

机构信息

Medicine Heart and Vascular Institute, West Virginia University, 1 Medical Center Drive, Morgantown, WV, 26506, USA.

Weil Cornell Medical Center, New York, NY, USA.

出版信息

Cardiol Ther. 2022 Sep;11(3):355-368. doi: 10.1007/s40119-022-00273-7. Epub 2022 Jul 12.

Abstract

In this digital era, artificial intelligence (AI) is establishing a strong foothold in commercial industry and the field of technology. These effects are trickling into the healthcare industry, especially in the clinical arena of cardiology. Machine learning (ML) algorithms are making substantial progress in various subspecialties of cardiology. This will have a positive impact on patient care and move the field towards precision medicine. In this review article, we explore the progress of ML in cardiovascular imaging, electrophysiology, heart failure, and interventional cardiology.

摘要

在这个数字时代,人工智能(AI)正在商业行业和技术领域站稳脚跟。这些影响正逐渐渗透到医疗行业,尤其是在心脏病学的临床领域。机器学习(ML)算法在心脏病学的各个亚专业中都取得了重大进展。这将对患者护理产生积极影响,并推动该领域朝着精准医学发展。在这篇综述文章中,我们探讨了机器学习在心血管成像、电生理学、心力衰竭和介入心脏病学方面的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f12/9381660/9f08fa07839c/40119_2022_273_Fig1_HTML.jpg

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