Work

AI-ECG for structural heart disease screening: from retrospective validation to clinical impact

Year: 2026

Type: editorial

Source: American Journal of Preventive Cardiology

DOI: 10.1016/j.ajpc.2026.101697

Authors: Philip M. Croon, Safi U. Khan, Rohan Khera, Evangelos K. Oikonomou

Institutions: Yale University, Amsterdam University Medical Centers, Amsterdam Cardiovascular Sciences, University of Amsterdam, Heart Hospital Baylor Plano

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,900

Funders: American Heart Association, Bristol-Myers Squibb, Yale University, University of Oxford, Novo Nordisk, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute

Awards: TARGET-HCM: Targeted Artificial Intelligence Screening of Hypertrophic Cardiomyopathy in the Electronic Health Record, Translating Personalized Inference from Randomized Clinical Trials to Real-World Cardiovascular Care, Evaluating and Improving Utilization of Evidence-Based Medical Therapy in Patients with Heart Failure using Automated Tools in the Electronic Health Record, Deep learning enhanced detection and personalized monitoring of aortic stenosis - The DETECT-AS Study

OpenAlex ID: W7163680651

Cites: 9

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Related to: 10