AI-powered device to identify low LV ejection fraction gains FDA 510(k) clearance
Related Articles
Tackling Imbalanced Regression in Clinical AI with KDE-weighted Deep Models
Clinical AI systems often include automated analysis of medical time series, such as electrocardiogram (ECG), to serve as valuable diagnostic decision support tools. While many cardiovascular diseases are traditionally measured…{post_date: F d, Y}
Mayo-developed AI detects heart condition from Apple Watch ECGs
Modern Healthcare: An artificial-intelligence algorithm developed at Mayo Clinic could identify left ventricular dysfunction—or a weak heart pump—in most patients based on Apple Watch data, researchers shared at a conference…{post_date: F d, Y}
Bridging ECG Signals and EHR data through Contrastive Learning
Introduction: How can we teach an AI to see the connections between a patient’s heart rhythms and their clinical notes? In healthcare, critical information is spread across different data types…{post_date: F d, Y}
Anumana’s AI algorithm for cardiac amyloidosis gets FDA breakthrough nod
Bioworld: Anumana Inc. has garnered a U.S. FDA breakthrough device designation for its artificial intelligence (AI)-powered electrocardiogram-based algorithm for early identification of cardiac amyloidosis. The ECG-AI detection algorithm is the…{post_date: F d, Y}