Automated Assessment of Right Atrial Pressure From Ultrasound Videos Using Machine Learning.

ABSTRACT:

Background

Early recognition of volume overload is essential for heart failure patients. Volume overload can often be easily treated if caught early but causes significant morbidity if unrecognized and allowed to progress. Intravascular volume status can be assessed by ultrasound-based estimation of right atrial pressure (RAP), but the availability of this diagnostic modality is limited by the need for experienced physicians to accurately interpret these scans.

Objectives

We sought to evaluate whether machine learning can accurately estimate echocardiogram-measured RAP.

Methods

We developed fully automated deep learning models for identifying inferior vena cava scans with rapid inspiration in echocardiogram studies and estimating RAP from those scans. The RAP estimati

SUBMITTER: Yurk D 

PROVIDER: S-EPMC11450965 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature