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Artificial Intelligence Has Learned to Predict Sudden Death## Translation of Russian text to English
Scientists from Johns Hopkins University have developed artificial intelligence that predicts the risk of sudden cardiac death in patients with hypertrophic cardiomyopathy with 89% accuracy - a hereditary heart disease that is one of the main causes of death among young people and athletes. The work is published in the journal Nature Cardiovascular Research (NCR).
Existing clinical guidelines identify patients at risk of fatal arrhythmias in only 50% of cases, while the new MAARS model uses deep learning to analyze cardiac MRIs and medical data to "see" hidden scars in heart tissue that increase the risk of fatal outcomes.
"Currently, many patients die because they weren't protected in time, while others wear unnecessary defibrillators their whole lives that don't benefit them," explained project leader Natalia Trayanova.
The model not only determines the degree of risk but also explains the causes, allowing doctors to develop individualized treatment plans. In the future, they plan to adapt the development for other cardiovascular diseases.
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