Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, IL, USA. Electronic address: https://twitter.com/carolinecanning.
Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, IL, USA.
Heart Fail Clin. 2023 Jul;19(3):391-405. doi: 10.1016/j.hfc.2023.03.001. Epub 2023 Apr 7.
Valvular heart disease (VHD) is a morbid condition in which timely identification and evidence-based treatments can lead to improved outcomes. Artificial intelligence broadly refers to the ability for computers to perform tasks and problem solve like the human mind. Studies applying AI to VHD have used a variety of structured (eg, sociodemographic, clinical) and unstructured (eg, electrocardiogram, phonocardiogram, and echocardiograms) and machine learning modeling approaches. Additional researches in diverse populations, including prospective clinical trials, are needed to evaluate the effectiveness and value of AI-enabled medical technologies in clinical care for patients with VHD.
瓣膜性心脏病（VHD）是一种病态，及时识别和基于证据的治疗可以改善预后。人工智能广泛指的是计算机执行任务和解决问题的能力，就像人类的思维一样。将人工智能应用于 VHD 的研究使用了各种结构化（例如，社会人口统计学、临床）和非结构化（例如，心电图、心音图和超声心动图）和机器学习建模方法。需要在不同人群中进行更多研究，包括前瞻性临床试验，以评估人工智能支持的医疗技术在 VHD 患者临床护理中的有效性和价值。
