Filters
Close
ADDED DATE
Added date
TOPICS Please select
WATCH / LISTEN / READ TIME
Added: 2 days ago Source:  Arrhythmia Academy
Artificial intelligence applied to electrocardiograms (ECG-AI) may offer a scalable way to identify individuals at high risk of developing heart failure (HF), potentially improving on current clinical risk estimators, according to a new pooled cohort analysis from the HeartShare/Accelerating Medicines Partnership (AMP) Heart Failure program.¹The study aimed to assess whether ECG-AI models… View more
Author(s): Marat Fudim , David Duncker Added: 3 weeks ago
In this episode of Arrhythmia Academy's Journal Club, Dr David Duncker (Hannover Heart Rhythm Center, DE) is joined by Dr Marat Fudim (Duke University, US) to examine the critical early-risk period following heart failure diagnosis and the emerging role of wearable cardioverter defibrillators in sudden cardiac death prevention.The discussion centres on findings from the SCD-PROTECT study, a 19… View more
Author(s): Charalambos Antoniades Added: 2 years ago
AHA 23 — In this brief interview, we are joined by Prof Charalambos Antoniades (Oxford University, UK) to discuss the ORFAN trial, sponsored by the University of Oxford.ORFAN is a prospective, multicenter, observational study that collected CT scans, biological material and outcomes data to develop and validate biomarkers of cardiometabolic risk. The registry included 250000 unselected… View more