Multimodal AI to Forecast Arrhythmic Death in Hypertrophic Cardiomyopathy

AI Model Better Predicts Sudden Deaths in Hypertrophic Cardiomyopathy

(MedPage Today) -- Artificial intelligence (AI) showed promise for substantially improving risk prediction in hypertrophic cardiomyopathy (HCM) beyond what clinicians can do with current tools, researchers reported. A deep learning model, Multimodal...

Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy

Sudden cardiac death from ventricular arrhythmias is a leading cause of mortality worldwide. Arrhythmic death prognostication is challenging in patients with hypertrophic cardiomyopathy (HCM), a setting where current clinical guidelines show low performance and inconsistent accuracy. Here, we present a deep learning approach, MAARS (Multimodal Artificial intelligence for ventricular Arrhythmia Risk Stratification), to forecast lethal arrhythmia …

AI predicts patients likely to die of sudden cardiac arrest

A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the system's ability to analyze long-underused heart imaging, alongside a full spectrum of medical records, to reveal previously hidden information about a patient's heart health.

Predicting sudden cardiac arrest with MAARS

A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest.