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

Illustration of a LINQ™ ICM being connected to a cloud and a computer monitor, indicating how alerts work


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

Chart showing data for false Pause and AF alert reduction with the LINQ II™ ICM

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

Chart showing data for false Pause and AF alert reduction with the Reveal LINQ™ ICM

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