Penza Scientists Train Neural Network to Detect Signs of Heart Disease
Scientists at Penza State University have developed a neural network capable of identifying heart disease indicators from electrocardiogram data. The AI system processes data from compact cardiographs and warns of potential risks, but the final diagnosis remains with the doctor.
At Penza State University, a neural network has been taught to detect signs of heart disease in humans. The development identifies indicators of cardiovascular diseases based on electrocardiogram data. The system processes data from compact cardiographs and warns of potential risks. Specialists note that the neural network significantly speeds up the work of doctors, but the final diagnosis remains with the specialist.
Source: ТАСС —
original