Consistent with iRhythm’s ongoing investment in artificial intelligence (A.I.) for arrhythmia detection and analysis, and because deep learning models are dependent upon vast amounts of reliable data, the company provided an annotated data set of about 30,000 unique patients, 500 times larger than standards-based databases utilized in previous studies. This enabled the
As a digital health company, we are very pleased to leverage our large and unique cardiac data repository of over 200 million hours of labeled ECG data and our leadership in ECG analysis to enable this cutting edge deep learning research, said
Details about the algorithm have been published in a paper co-authored by
iRhythm is a leading digital health care company redefining the way cardiac arrhythmias are clinically diagnosed. The company combines wearable biosensor devices worn for up to 14 days and cloud-based data analytics with powerful proprietary algorithms that distill data from millions of heartbeats into clinically actionable information. The company believes improvements in arrhythmia detection and characterization have the potential to change clinical management of patients.
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