Heart arrhythmias can be detected more accurately with MACHINE LEARNING techniques
This is the conclusion arrived by Stanford University researchers on heart pathology:
“Deep learning involves feeding large quantities of data into a big simulated neural network, and fine-tuning its parameters until it accurately recognized problematic ECG signals”.
And the case is that AI is better and detect irregularities before a doctor can detect it. Furthermore the machine is always with the patient and therefore is not left just to the moment where a doctor visit is programmed.
