Over 2 million
500 million hours of curated heartbeat
The only FDA-cleared deep-learning algorithm of its type3
Detects 13+ types
When you combine our deep-learning algorithm with our Certified Cardiographic Technicians, the result is a report with an incredible 99.9% physician agreement.3
The Zio report provides you with a rich summary of the most important cardiac events right on the first page — and an easy-to-navigate deep dive for all the intricate details captured.
It’s also available at your fingertips on the ZioSuite mobile app.
John Rogers MD, FACC, FHRS
Co-Chairman of the Scripps Institute Cardiology Program
Co-Chair, Division of Cardiovascular Diseases
Director, Cardiac Pacing and Tachyarrhythmia Device Therapy
Scripps Health (La Jolla, CA)
Hannun, AY., et al. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nature Medicine, 2019.
iRhythm Technologies, 2020. Form 10-K 2019. Retrieved from https://investors.irhythmtech.com/sec-filings/sec-filing/10-k/0001388658-20-000034
Data on file. iRhythm Technologies, 2020.