A new AI model developed by researchers at Johns Hopkins University has demonstrated a significantly higher accuracy than traditional clinical guidelines in predicting patients at risk for sudden cardiac death due to hypertrophic cardiomyopathy, achieving up to 93% accuracy in high-risk demographics. By analyzing both imaging data and comprehensive medical records, the model reveals critical information about heart scarring that could lead to better patient outcomes and reduced unnecessary medical interventions.
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