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Results filtered:Study status: Closed for Enrollment
The purpose of this stuyd is to evaluate the impact of an ECG-based artificial intelligence (AI-ECG) algorithm to detect low left ventricular ejection fraction (LVEF) on diagnosis rates of LVEF ≤ 40% in the outpatient setting, to evaluate the impacts of an AI-ECG algorithm to detect low LVEF and an associated clinical decision support software when used during routine outpatient care. The study will be conducted in 2 phases: feasibility assessment phase and clinical impact phase.
The purpose of this study is to determine if an atrial fibillation (AF) detection intervention in men and women at least 70 years of age with undiagnosed AF or atrial flutter (AFL) reduces the person-years incidence rate of stroke compared to usual care (no AF detection intervention).