For more than 60 years, artificial intelligence (AI) has served as a mainstay in augmenting and assisting the lives of individuals across a wide array of interests and professional fields. Functioning to create deep computer simulations, analyze data, solve problems, and synthesize human behavior/emotion, AI has recently become a topic of popular interest in many fields of medicine. Despite decades of usage, modern AI-and its newer branch of machine learning (ML)-have yet to find a fully established and regulated niche in medicine. Understanding the clinical implications that AI and ML might be able to play in cardiovascular medicine, studies have sought to understand and compare how this technology compares with human rationality and diagnostics. Utilizing AI and ML in an array of cardiovascular medical techniques, analyses, and predictive measurements seems to have produced accurate results while also saving healthcare providers time and enabling them to expand their reach to further populations. Although current research and literature might hypothesize AI's potential clinical applications, it is nearly impossible to fully understand the breadth and scope that this new technology can play in the future. In this article, we attempt to analyze a few of the potential applications of AI and ML for the detection, prevention, and treatment of cardiovascular disease. Additionally, we discuss how AI might make cardiovascular care more equitable and highlight a few precautions for utilizing this technology.

中文翻译：

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人工智能在预防和检测心血管疾病中的应用。

60 多年来，人工智能 (AI) 一直是增强和协助各个兴趣和专业领域的个人生活的中流砥柱。人工智能具有创建深度计算机模拟、分析数据、解决问题和综合人类行为/情感的功能，最近已成为许多医学领域的热门话题。尽管使用了数十年，现代人工智能及其机器学习 (ML) 的新分支尚未在医学领域找到完全成熟且受监管的利基市场。为了了解人工智能和机器学习在心血管医学中可能发挥的临床影响，研究试图了解并比较该技术与人类理性和诊断的比较。在一系列心血管医疗技术、分析和预测测量中利用人工智能和机器学习似乎产生了准确的结果，同时还节省了医疗保健提供者的时间，并使他们能够将服务范围扩大到更多人群。尽管当前的研究和文献可能假设人工智能的潜在临床应用，但几乎不可能完全理解这项新技术未来可以发挥的广度和范围。在本文中，我们尝试分析人工智能和机器学习在心血管疾病检测、预防和治疗方面的一些潜在应用。此外，我们还讨论了人工智能如何使心血管护理更加公平，并强调了使用该技术的一些预防措施。