Collaborative Research Project 4

Principal investigators: Alan C. Kwan (Cedars-Sinai Medical Center) and David Ouyang (Cedars-Sinai Medical Center) 

Deep learning of echocardiography for detection of myocarditis cardiac injury related to COVID-19 infection. 

Updated January 20, 2023

Current plans include

  • Develop a deep learning model to identify patients with the clinical diagnosis of myocarditis. We will train a deep learning method based on data from our large medical system to identify patients who carry clinical diagnoses of myocarditis with echocardiography within 90 days of diagnosis

  • Develop a deep learning model to identify CMR sub-components of tissue characterization which can be used to identify myocarditis.

  • Develop and apply a deep learning model to perform biventricular semantic segmentation of the left and right ventricles in the apical 4-chamber echocardiography videos, with adaptation of the pipeline to provide multiple measures of cardiac function.

MIDRC_CP4.png
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