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Atrial Fibrillation (AF) and Pause AccuRhythm AI algorithms further enhance the accuracy of the LINQ II ICM data.1-3 The cloud-based artificial intelligence system reduces false alerts while retaining true alerts, so you can maintain diagnostic yield and spend more time on the human side of care.
AccuRhythm AI algorithms are a groundbreaking platform that can seamlessly and remotely apply deep learning algorithms to already-transmitting LINQ II devices. They were rigorously trained and were developed based on over one million professionally adjudicated ECGs for smarter, more accurate insight without data bias.4
Check out how this impacts your clinic's time. The AccuRhythm AI algorithms can save clinicians approximately 319 hours of false alert review yearly for every 200 LINQ II ICM patients.*5
* The validation study performance and time study results were projected onto 16,301 LINQ II patients to calculate the time saved per year in 200 LINQ II ICM patients.
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Cheng YJ, Ousdigian KT, Koehler J, Cho YK, Kloosterman M. Innovative Artificial Intelligence Application Reduces False Pause Alerts while Maintaining Perfect True Pause Sensitivity for Insertable Cardiac Monitors. Presented at HRS 2021.
Radtke A, Ousdigian KT, Haddad TD, Koehler JL, Colombowala IK. Artificial Intelligence Enables Dramatic Reduction of False Atrial Fibrillation Alerts from Insertable Cardiac Monitors. Presented at HRS 2021.
AccuRhythm Clinician Manual Supplements M015316C001 and M015314C001.
AccuRhythm™ AI AF & Pause Algorithms White Paper. Data on file. 2021.
Ousdigian K, Cheng YJ, Koehler J, Radtke A, Rosemas S, Rogers J. Artificial Intelligence Dramatically Reduces Annual False Alerts from Insertable Cardiac Monitors. Presented at AHA 2021.
Medtronic Reveal™ ICM family data. Data on file. 2020.
ICM Size Comparison Guide. Data on file. 2020.
ICM Published Accuracy Comparison Guide. Data on file. 2020.