Could this algorithm be better at diagnosing arrhythmia than cardiologists?

[Image from Lars P. on Flickr]

A new algorithm that can go through hours of heart data to detect arrhythmia performs better than trained cardiologists, according to new research from Stanford University.

The algorithm gathers data from wearable monitors to find life-threatening irregular heartbeats and allows for data to be sorted through in remote areas where there is a scarcity of cardiologists.

“One of the big deals about this work, in my opinion, is not just that we do abnormality detection but that we do it with high accuracy across a large number of different types of abnormalities,” said Awni Hannun, a graduate student and co-lead author of the paper, in a press release. “This is definitely something that you won’t find to this level of accuracy anywhere else.”

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