Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Department of Internal Medicine, Cleveland Clinic Foundation, Cleveland, OH, USA.
Echocardiography. 2021 Jun;38(6):982-992. doi: 10.1111/echo.15048. Epub 2021 May 13.
Artificial intelligence and machine learning approaches have become increasingly applied in the field of echocardiography to streamline diagnostic and prognostic assessments, and to support treatment decisions. Artificial intelligence and machine learning have been applied to aid image acquisition and automation. They have also been applied to the integration of clinical and imaging data. Applications of artificial intelligence and machine learning approaches in echocardiography in conjunction with health information databases may be promising in improving the classification and treatment of many cardiac conditions. This review article provides an overview of the applications of artificial intelligence and machine learning approaches in echocardiography.
人工智能和机器学习方法在超声心动图领域的应用越来越广泛，以简化诊断和预后评估，并支持治疗决策。人工智能和机器学习已应用于辅助图像采集和自动化。它们也已应用于临床和成像数据的整合。人工智能和机器学习方法在超声心动图中的应用与健康信息数据库相结合，可能有望改善许多心脏疾病的分类和治疗。本文综述了人工智能和机器学习方法在超声心动图中的应用。
