The year in cardiovascular medicine 2021 digital health and innovation

被引:0
作者
Vardas, Panos E. [1 ,2 ]
Asselbergs, Folkert W. [3 ,4 ,5 ]
van Smeden, Maarten [6 ]
Friedman, Paul [7 ]
机构
[1] Hygeia Hosp Grp, Heart Sect, HHG, 5 Erithrou Stavrou, Athens 15123, Greece
[2] European Heart Agcy, ESC, Brussels, Belgium
[3] Univ Utrecht, Univ Med Ctr Utrecht, Dept Cardiol, Div Heart & Lungs, Utrecht, Netherlands
[4] UCL, Hlth Data Res UK, London, England
[5] UCL, Inst Hlth Informat, London, England
[6] Univ Utrecht, Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
[7] Mayo Clin, Dept Cardiovasc Med, Rochester, MN USA
关键词
AI-ECG; AI-wearables; Digital health; Cardiovascular medicine; Big data; Machine learning; ARTIFICIAL-INTELLIGENCE; PHYSICAL-ACTIVITY; RISK; ELECTROCARDIOGRAM; PREDICTION; DYSFUNCTION; DIAGNOSIS; OUTCOMES; MODELS;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
This article presents some of the most important developments in the fi eld of digital medicine that have appeared over the last 12 months and are related to cardiovascular medicine. The article consists of three main sections, as fol-lows: (i) artifi cial intelligence-enabled cardiovascular diagnostic tools, techniques, and methodologies, (ii) big data and prognostic models for cardiovascular risk protection, and (iii) wearable devices in cardiovascular risk assessment, cardiovascular disease prevention, diagnosis, and management. To conclude the article, the authors present a brief further prospective on this new domain, highlighting existing gaps that are specifi cally related to artifi cial intelligence technologies, such as explainability, cost-effectiveness, and, of course, the importance of proper regulatory oversight for each clinical implementation.
引用
收藏
页码:7 / 17
页数:11
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