Overview

AccuRhythm™ AI algorithms are a groundbreaking platform that applies deep learning artificial intelligence algorithms to Reveal LINQ™ ICM and LINQ II™ ICM data.


Advanced algorithms enabling optimal outcomes

Watch our video to learn more about AccuRhythm™ AI algorithms.




Clinically meaningful and actionable alerts

AccuRhythm™ AI algorithms for atrial fibrillation (AF) and pause, further enhance the accuracy of Reveal LINQ™ ICM and 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 an innovative platform that can seamlessly and remotely apply deep learning algorithms to already-transmitting Reveal LINQ™ ICM and LINQ II™ ICM devices. They were rigorously trained and were developed based on over one million professionally adjudicated ECGs for smarter, more accurate insight without data bias.1



Improving accuracy while maintaining sensitivity

AccuRhythm™ AI algorithms address two of the most common sources of ICM false alerts — AF and pause.1,2


LINQ II™ ICM with AccuRhythm™ AI algorithms

Validation using data from real-world LINQ II™ ICM patients demonstrated3,4:

  • 97.4% reduction in false pause alerts
  • 88.2% reduction in false AF alerts

Preserved true alerts5:

  • 99% true AF alerts preserved
  • 100% true pause alerts preserved

 

The AccuRhythm™ AI algorithms can save clinicians approximately 401 hours of false alert review yearly for every 200 LINQ II™ ICM patients.†,‡,5


Reduce false alerts5

91% overall reduction
in false AF and Pause alerts5


Reveal LINQ™ ICM with AccuRhythm™ AI algorithms

Validation using data from real-world Reveal LINQ™ ICM patients demonstrated6:

  • 78.4% reduction in false pause alerts
  • 89.5% reduction in false AF alerts

Preserved true alerts6:

  • 98.2% true AF alerts preserved
  • 99.9% true pause alerts preserved

 

The AccuRhythm™ AI algorithms can save clinicians approximately 205 hours of false alert review yearly for every 200 Reveal LINQ™ ICM patients.§,◊,6


Reduce false alerts6

85% overall reduction
in false AF and pause alerts6


† 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.
‡ Estimated time savings was calculated based on 11.3 minutes per non-actionable ICM transmission.7
§ The validation study performance and time study results were projected onto 86,383 Reveal LINQ™ patients to calculate false alert reduction per year in 200 Reveal LINQ™ ICM patients.
◊ Estimated time savings was calculated based on 11.3 minutes per non-actionable ICM transmission.7