ACC Innovation Program – American College of Cardiology
The ACC Innovation Program is working to lead the digital transformation of cardiovascular health care delivery.
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Fellow in Training to Fellow – American College of Cardiology
Fellowship is the ultimate recognition of professional achievement in cardiology. Signal to peers and patients your commitment to the highest standards of cardiovascular care through…
Midterm Outcomes in a Pooled Cohort of Harmony Transcatheter Pulmonary Valve Recipients | Circulation: Cardiovascular Interventions
BACKGROUND: The Harmony transcatheter pulmonary valve (TPV) is designed to treat severe pulmonary regurgitation in the native or surgically repaired right ventricular (RV) outflow tract.…
Association Between Physical Activity Dose and Mental Health Among Stroke Survivors | Journal of the American Heart Association
BackgroundAlthough physical activity correlates with reduced depressive symptoms among survivors of stroke, how frequency, intensity, and duration of physical activity relate to mental health is…
ACC Industry Advisory Forum – American College of Cardiology
Join us as a member of the ACC Industry Advisory Forum (ACC IAF) and your organization will have a front-row seat to discussions on topics…
Artificial Intelligence – American College of Cardiology
Listen to this podcast exploring AI’s impact in cardiology. Artificial intelligence (AI) and digital technology advances have emerged as catalysts for changing how we diagnose,…
Cardiac contractility modulation in HFrEF patients with QRS duration 120-149 ms: reduction in heart failure hospitalizations and improvement in functional outcome
A subset of heart failure (HF) patients qualifies for cardiac resynchronization therapy (CRT). However, a 30% CRT non-responder rate persists, with patients with narrower QRS…
Wearable Technology and Your Heart Health
Wearable technology can help you engage in your health and track certain healthy habits. But it doesn’t replace your health care team. Download this infographic…
Enhanced detection of atrial fibrillation in single-lead electrocardiograms using a cloud-based artificial intelligence platform
Although smartphone-based devices have been developed to record 1-lead ECG, existing solutions for automatic atrial fibrillation (AF) detection often has poor positive predictive value.