Artificial Intelligence Tools for Preconception Cardiomyopathy Screening Among Women of Reproductive Age.

ABSTRACT:

Purpose

Identifying cardiovascular disease before conception and in early pregnancy can better inform obstetric cardiovascular care. Our main objective was to evaluate the diagnostic performance of artificial intelligence (AI)-enabled digital tools for detecting left ventricular systolic dysfunction (LVSD) among women of reproductive age.

Methods

In a pilot cross-sectional study, we enrolled an initial cohort of 100 consecutive women aged 18-49 years who had a primary care physician and a scheduled echocardiography at Mayo Clinic Florida (Jacksonville) (cohort 1). Twelve-lead electrocardiography (ECG) and digital stethoscope recordings (single-lead ECG + phonocardiography) were performed on the date of echocardiography. We used deep learning to generate prediction probabilit

SUBMITTER: Kinaszczuk A 

PROVIDER: S-EPMC12120147 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature