见微知著：利用人工智能通过心电图识别心脏功能降低。
More than meets the eye: Using AI to identify reduced heart function by electrocardiograms.
机构信息
Scripps Research Translational Institute, La Jolla, CA 92037, USA; Scripps Clinic Division of Cardiovascular Diseases, La Jolla, CA 92037, USA.
出版信息
Med. 2021 Jul 9;2(7):791-793. doi: 10.1016/j.medj.2021.06.003.
Electrocardiographic (ECG) assessment of patients with suspected heart disease is a bedrock of cardiology for diagnosing conduction system disease, arrhythmias, and heart attack. Now, using AI-assisted interpretation of ECGs, the signals within these studies are able to tell us so much more. In their recent randomized trial published in Nature Medicine, Yao and colleagues illustrate the power of utilizing AI-enabled ECGs to identify individuals with reduced heart function using a scalable, pragmatic approach.
心电图（ECG）评估疑似心脏病患者是心脏病学的基础，可用于诊断传导系统疾病、心律失常和心脏病发作。现在，通过人工智能辅助解读心电图，这些研究中的信号能够告诉我们更多信息。在他们最近发表在《自然医学》杂志上的随机试验中，姚和他的同事们展示了利用人工智能心电图识别心功能降低个体的强大功能，采用了一种可扩展的、实用的方法。
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