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A team from Johns Hopkins University in the United States has unveiled a groundbreaking multimodal AI model named MAARS. By meticulously analyzing cardiac magnetic resonance imaging (MRI) and diverse medical datasets, MAARS is capable of pinpointing individuals at heightened risk of sudden cardiac death with an impressive accuracy rate of 93%. This remarkable achievement surpasses the current clinical guidelines' prediction accuracy of 50%, heralding a significant advancement. The potential impact of this breakthrough is substantial, as it could lead to a reduction in unnecessary medical interventions, notably the implantation of defibrillators that may not be required. The research findings have been featured in the esteemed journal Nature Cardiovascular Research.
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