US EditionAI algorithm can help identify high-risk heart patients to quickly diagnose, expedite, and improve care
5 Articles
5 Articles
Researchers at the University of Gävle have invented a new method that can detect ADHD in children using an AI tool that analyzes electronic impulses in the brain. “I hope this can help healthcare detect ADHD faster, the results are promising,” says researcher Sunil Kumar, who led the study.
ECU Health enhances heart care with two new technologies
GREENVILLE, N.C. (WNCT) -- The ECU Health Medical Center is expanding heart care with two new technologies for transcatheter tricuspid valve replacement. The new technologies are EVOQUE™, a first-of-its-kind transcatheter tricuspid valve replacement, and TriClip G4™, a minimally invasive clip procedure designed to reduce tricuspid valve leakage. With these new technologies, patients who were previously ineligible for surgery, will now be provide…
Mount Sinai Calibrates AI Algorithm to Provide Specific HCM Risk Probabilities from ECGs
What You Should Know: – Researchers at Mount Sinai have enhanced an existing artificial intelligence (AI) algorithm to provide specific numeric probabilities identifying patients at risk for hypertrophic cardiomyopathy (HCM), a common inherited heart condition, based on their electrocardiogram (ECG) readings. – The calibration of the FDA-approved Viz HCM algorithm, detailed in a study published April 22, 2025, in NEJM AI, aims to provide more …
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