What causes sudden cardiac death? AI wades into medical mystery

Sudden cardiac arrest is a leading cause of death in the U.S., claiming approximately 350,000 lives annually.
This tragedy is largely preventable with the use of implantable defibrillators, but determining who should receive them poses a significant challenge.
A recent study published in Nature utilizes artificial intelligence to better identify individuals at high risk for sudden cardiac arrest, potentially advancing prevention strategies.
The study indicates that cardiac fibrosis, or the presence of scar tissue in the heart, might be a common trait in people at the highest risk of sudden death, offering a possible explanation for their previous undetected risk.
The research highlights the promise of AI in improving the predictive capabilities for sudden cardiac arrest, which could lead to better targeting and use of preventative devices like defibrillators.
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