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iRhythm Builds Momentum Following Large Trial Of AI Approach To ECG Analysis

 
• By Reed Miller

Results from a study of more than 91,000 ECG records collected with iRhythm’s Zio ambulatory continuous cardiac monitoring device that demonstrates the successful application of artificial intelligence to ECGs gives the 12-year-old company confidence that it will be profitable very soon.

Zio XT Patch Side View
iRhythm's Zio XT ECG Monitor • Source: iRhythm Technologies, Inc.

Electrocardiography (ECG) data collected by iRhythm Technologies Inc.'s Zio ambulatory continuous-care wearable ECG monitor can be analyzed by a “deep learning” artificial intelligence model to detect cardiac arrhythmias as effectively as a panel of expert cardiologists across 12 kinds of cardiac rhythm outputs, according to the results of a 53,549-patient trial.

“Diagnosing arrhythmia is like a needle in a haystack problem,” iRhythm Executive VP-Research & Development Mark Day told Medtech Insight. “There are just tremendous amounts of ECG data and sometimes only as few as 10 beats over a two-week record … can be the most meaningful part

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