Mount Sinai researchers enhance AI tool to better detect heart disease risk

Mount Sinai researchers enhance AI tool to better detect heart disease risk

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify patients with the condition and flag them as high risk for greater attention during doctor's appointments.

Vektor Medical Unveils Comprehensive Post-Market Study On AI In Ablation

vMap is the only FDA-cleared non-invasive AI-powered arrhythmia analysis technology designed to improve, enhance, and accelerate ablation procedures, utilizing data from a standard 12-lead ECG.

AI Shows Promise for Rapid NSTEMI Diagnosis

Artificial intelligence can identify a non–-ST-elevated myocardial infarction more accurately than a clinician in an emergency department, which might upend standard practice. Medscape Medical News

AI Algorithm Used to Predict Odds of Hypertrophic Cardiomyopathy

The model could allow cardiologists to inform and prepare patients before symptoms of hypertrophic cardiomyopathy make themselves known.

Study Shows New A.I Tech Tool May Spot Heart Risk Sooner

Mount Sinai-led research can transform how hospitals triage, risk-stratify, and counsel patients to save lives,

AI Algorithm Can Help Identify High-Risk Heart Patients to Quickly Diagnose, Expedite, and Improve Care

Mount Sinai-led research can transform how hospitals triage, risk-stratify, and counsel patients to save lives