Revolutionary AI System Forecasts Sudden Cardiac Death with 93% Precision
Johns Hopkins researchers have developed a groundbreaking artificial intelligence system known as MAARS (Multimodal AI for Ventricular Arrhythmia Risk Stratification). This system significantly surpasses current clinical guidelines in predicting sudden cardiac death.
The AI model boasts an overall accuracy of 89%, with a remarkable 93% accuracy for patients aged between 40 and 60. This is a stark contrast to existing clinical guidelines that only offer a 50% accuracy rate. MAARS utilizes contrast-enhanced MRI scans to detect elusive heart scarring patterns that have traditionally been challenging for physicians to interpret. This is done in conjunction with comprehensive patient health records.
The study, published in Nature Cardiovascular Research, concentrated on hypertrophic cardiomyopathy. This is one of the most prevalent inherited heart conditions, affecting 1 in every 200 to 500 people globally.
“Currently we have patients dying in the prime of their life because they aren’t protected and others who are putting up with defibrillators for the rest of their lives with no benefit,”
said senior author Natalia Trayanova. The team has plans to test the model on additional heart conditions including cardiac sarcoidosis and arrhythmogenic right ventricular cardiomyopathy.
Source: Johns Hopkins Hub