Division of Cardiology, Rush University Medical Center, Chicago, IL 60612, USA.
Rev Cardiovasc Med. 2020 Sep 30;21(3):345-352. doi: 10.31083/j.rcm.2020.03.120.
Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Machine learning is a software solution with the ability to analyze large amounts of data and make predictions without prior programming. When faced with new problems with unique challenges as evident in the COVID-19 pandemic, machine learning can offer solutions that are not apparent on the surface by sifting quickly through massive quantities of data and making associations that may have been missed. Artificial intelligence is a broad term that encompasses different tools, including various types of machine learning and deep learning. Here, we review several cardiovascular applications of machine learning and artificial intelligence and their potential applications to cardiovascular diagnosis, prognosis, and therapy in COVID-19 infection.
自 2020 年 1 月以来，2019 年冠状病毒病（COVID-19）迅速成为全球关注的焦点，其心血管表现突出表明需要快速、敏感和特异的工具来进行早期识别和风险分层。机器学习是一种具有分析大量数据和进行预测能力的软件解决方案，而无需事先编程。当面临新的问题时，机器学习可以通过快速筛选大量数据并建立可能被忽视的关联，为具有独特挑战的问题提供解决方案，而这些解决方案在表面上并不明显。人工智能是一个广泛的术语，包括不同的工具，包括各种类型的机器学习和深度学习。在这里，我们回顾了机器学习和人工智能在心血管领域的一些应用及其在 COVID-19 感染中心血管诊断、预后和治疗中的潜在应用。
