Accurate assessment of cardiac function is crucial for the diagnosis of cardiovascular
disease, screening for cardiotoxicity and decisions regarding the clinical management of …

Background Echocardiography is the diagnostic modality for assessing cardiac systolic and
diastolic function to diagnose and manage heart failure. However, manual interpretation of …

Despite progressive improvements over the decades, the rich temporally resolved data in an
echocardiogram remain underutilized. Human assessments reduce the complex patterns of …

Abstract Machine learning analysis of biomedical images has seen significant recent
advances. In contrast, there has been much less work on medical videos, despite the fact …

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Abstract Machine learning promises to assist physicians with predictions of mortality and of
other future clinical events by learning complex patterns from historical data, such as …

Deep learning (DL) has been applied for automatic left ventricle (LV) ejection fraction (EF)
measurement, but the diagnostic performance was rarely evaluated for various phenotypes …

Background Laboratory testing is routinely used to assay blood biomarkers to provide
information on physiologic state beyond what clinicians can evaluate from interpreting …

Echocardiography uses ultrasound technology to capture high temporal and spatial
resolution images of the heart and surrounding structures, and is the most common imaging …

Background: We have recently tested an automated machine-learning algorithm that
quantifies left ventricular (LV) ejection fraction (EF) from guidelines-recommended apical …