Automatic Prediction of Paediatric Cardiac Output From Echocardiograms Using Deep Learning Models.

ABSTRACT:

Background

Cardiac output (CO) perturbations are common and cause significant morbidity and mortality. Accurate CO assessment is crucial for guiding treatment in anaesthesia and critical care, but measurement is difficult, even for experts. Artificial intelligence methods show promise as alternatives for accurate, rapid CO assessment.

Methods

We reviewed paediatric echocardiograms with normal CO and a dilated cardiomyopathy patient group with reduced CO. Experts measured the left ventricular outflow tract diameter, velocity time integral, CO, and cardiac index (CI). EchoNet-Dynamic is a deep learning model for estimation of ejection fraction in adults. We modified this model to predict the left ventricular outflow tract diameter and retrained it on paediatric data. We develo

SUBMITTER: Ufkes S 

PROVIDER: S-EPMC10642111 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature