EchoNet
Description
EchoNet automates the quantification of left ventricular hypertrophy (LVH) using deep learning techniques. It utilizes a comprehensive dataset of echocardiogram videos along with detailed measurements. This approach aims to enhance early detection and characterization of LVH, potentially improving diagnostic accuracy and patient outcomes.
Creator
Stanford University School of Medicine
Information
Pediatrics or Adult
Adult
Speciality
Cardiology
Modality
Echocardiographs
Training
12,000 parasternal-long-axis echocardiography videos from individuals who underwent imaging as part of routine clinical care at Stanford Medicine
Github
Publication
FDA