Artificial Intelligence-Enhanced Electrocardiography for Prediction of Incident Hypertension.

ABSTRACT:

Importance

Hypertension underpins significant global morbidity and mortality. Early lifestyle intervention and treatment are effective in reducing adverse outcomes. Artificial intelligence-enhanced electrocardiography (AI-ECG) has been shown to identify a broad spectrum of subclinical disease and may be useful for predicting incident hypertension.

Objective

To develop an AI-ECG risk estimator (AIRE) to predict incident hypertension (AIRE-HTN) and stratify risk for hypertension-associated adverse outcomes.

Design, setting, and participants

This was a development and external validation prognostic cohort study conducted at Beth Israel Deaconess Medical Center (BIDMC) in Boston, Massachusetts, a secondary care setting. External validation was conducted in the UK Biobank

SUBMITTER: Sau A 

PROVIDER: S-EPMC11904724 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature