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AI can spot past atrial fibrillation even in a normal ECG

Warns the doctors about rhythm abnormalities that went undetected


Key points from article :

AI can detect past atrial fibrillation in ECGs even when the heart is beating normally.

Uses a convolutional neural network to detect the ECG signature of AF present during normal rhythm.

Analysed ECGs of 181,000 patients between 1993 and 2017 who had had normal test results.

Correctly identified the subsequent diagnosis from the normal test results in 83% of cases.

Can lead to easier and earlier detection of atrial fibrillation.

Needs to be tested further on general population.

Research by Mayo Clinic, USA published in The Lancet.

Mentioned in this article:

Click on resource name for more details.

Mayo Clinic

Non-profit American academic medical center focused on health care, education, and research

Paul Friedman

Cardiac Electrophysiologist and Cardiologist at Mayo Clinic.

The Lancet

Medical journal covering general medicine

Topics mentioned on this page:
AI in Healthcare, Heart Disease