
Researchers at ITMO's Research Center have created an algorithm that identifies heart attack symptoms in ECG recordings within a second. Trained on 20,000 ECGs, the model achieves 85% accuracy, quickly highlighting affected areas. It aims to support faster and more accurate diagnostics without replacing healthcare professionals.
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