From Detection to Action: Overcoming the Artificial Intelligence Implementation Gap for Heart Failure Screening at Scale
- 10 November 2026
- journal article
- Published by Elsevier in Journal of Cardiac Failure
- Vol. 32 (11) , 2019-2022
Abstract
No abstract availableThis publication has 9 references indexed in Scilit:
- Targeted Assessment in High-Risk Patients With Diabetes to Identify Undiagnosed Heart Failure (TARTAN-HF)JACC, 2026
- Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER) in the UK: a cluster-randomised controlled implementation trialThe Lancet, 2026
- Detecting structural heart disease from electrocardiograms using AINature, 2025
- Point-of-care ultrasound to assess left ventricular ejection fraction in heart failure in unselected patients in primary care: a systematic reviewFamily Practice, 2024
- Reversals in the Decline of Heart Failure Mortality in the US, 1999 to 2021JAMA Cardiology, 2024
- Nurse-led home-based detection of cardiac dysfunction by ultrasound: results of the CUMIN pilot studyEuropean Heart Journal - Digital Health, 2023
- Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort studyThe Lancet Digital Health, 2022
- Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic UseJAMA Cardiology, 2021
- Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trialNature Medicine, 2021