运动员
医学
人工智能
可穿戴技术
可穿戴计算机
运动医学
心脏病学
医疗保健
内科学
知情同意
机器学习
计算机科学
替代医学
物理疗法
病理
嵌入式系统
经济
经济增长
作者
Stefano Palermi,Marco Vecchiato,Andrea Saglietto,David Niederseer,David Oxborough,Sandra Ortega‐Martorell,Iván Olier,Silvia Castelletti,Aaron L. Baggish,Francesco Maffessanti,Alessandro Biffi,Antonello D’Andrea,Alessandro Zorzi,Elena Cavarretta,Flavio D’Ascenzi
标识
DOI:10.1093/eurjpc/zwae008
摘要
The integration of artificial intelligence (AI) technologies is evolving in different fields of cardiology and in particular in sports cardiology. AI offers significant opportunities to enhance risk assessment, diagnosis, treatment planning, and monitoring of athletes. This article explores the application of AI in various aspects of sports cardiology, including imaging techniques, genetic testing and wearable devices. The use of machine learning and deep neural networks enables improved analysis and interpretation of complex data sets. However, ethical and legal dilemmas must be addressed, including informed consent, algorithmic fairness, data privacy, and intellectual property issues. The integration of AI technologies should complement the expertise of physicians, allowing for a balanced approach that optimizes patient care and outcomes. Ongoing research and collaborations are vital to harness the full potential of AI in sports cardiology and advance our management of cardiovascular health in athletes.
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