Search results
Added:
3 months 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
Added:
2 years ago
https://www.uscjournal.com/editions/abstracts-3rd-annual-nyu-langone-critical-care-cardiology-symposium-and-cardionerds-poster
View more
Added:
2 years ago
https://www.uscjournal.com/editions/abstracts-3rd-annual-nyu-langone-critical-care-cardiology-symposium-and-cardionerds-poster
View more
Richard E Katholi
Research Area(s) / Expertise:
Job title: Clinical Professor of Medicine and Pharmacology
Author
Harald Becher
Job title: Professor of Cardiac Ultrasound
Author
Sharon L Mulvagh
Research Area(s) / Expertise:
Job title: MD, FACC, FASE
Author
Added:
1 month ago
Source:
Arrhythmia Academy
Atrial fibrillation (AF), particularly when paroxysmal and asymptomatic, often goes undiagnosed, increasing the risk of stroke. A recent trial investigated whether remote screening with a commercially available smartwatch could enhance the detection of new-onset AF in an older population with an elevated risk of stroke.²Mechanism of ApplicationThe intervention utilised a smartwatch equipped with…
View more
Roxy Senior
Author
Michael M McNally
Research Area(s) / Expertise:
Job title: Research Fellow in the Vascular Section of the Department of Cardiovascular Sciences
Author