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 …

Deep learning and computer vision algorithms can deliver highly accurate and automated
interpretation of medical imaging to augment and assist clinicians. However, medical …

Exponential growth in data storage and computational power is rapidly narrowing the gap
between translating findings from advanced clinical informatics into cardiovascular clinical …

Echocardiography (echo) is a translationally relevant ultrasound imaging modality widely
used to assess cardiac structure and function in preclinical models of heart failure (HF) …

Background Deep learning interpretation of echocardiographic images may facilitate
automated assessment of cardiac structure and function. Objectives We developed a deep …

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

Echocardiography is essential to cardiology. However, the need for human interpretation
has limited echocardiography's full potential for precision medicine. Deep learning is an …

Echocardiography is the first-line diagnostic technique for heart diseases. Although artificial
intelligence techniques have made great improvements in the analysis of echocardiography …

Deep learning has been shown to accurately assess “hidden” phenotypes from medical
imaging beyond traditional clinician interpretation. Using large echocardiography datasets …