Researchers develop deep-learning model capable of predicting cardiac arrhythmia 30 minutes before it happens

Researchers develop deep-learning model capable of predicting cardiac arrhythmia 30 minutes before it happens

Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to health care systems, making its early detection and treatment a major goal.

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