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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

This is an illustration of a LINQ™ insertable cardiac monitor (ICM) being connected to a cloud and a computer monitor, indicating how alerts work.
  1. LINQ II™ ICM
  2. AccuRhythm™ AI algorithms
  3. CareLink™ network

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

View false Pause and AF alert reduction data for the LINQ II™ insertable cardiac monitor (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

View false Pause and AF alert reduction data for the Reveal LINQ™ insertable cardiac monitor (ICM).

85% overall reduction
in false AF and Pause alerts6

How are AccuRhythm™ AI algorithms applied?

Data workflow
The AccuRhythm™ AI platform applies deep learning AI algorithms to Reveal LINQ™ ICM data flowing into the CareLink™ network to remove false AF and Pause alerts and significantly reduce clinic review burden.7

This is a graphic showing how the AccuRhythm™ AI platform applies deep learning algorithms to Reveal LINQ™ insertable cardiac monitor data flowing into the CareLink™ network.
  1. Reveal LINQ™ ICM
  2. Data transmitted to the cloud
  3. Medtronic CareLink™ network
  4. AF and Pause episodes
  5. AccuRhythm™ AI algorithms
  6. False events
  7. True or indeterminant events

Medtronic 24-hour clinician support

Phone: 800-505-4636

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