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Improved Diagnostic Performance of Insertable Cardiac Monitors by an Artificial Intelligence-Based Algorithm.

Eliot CrespinArnaud RosierIssam IbnouhseinAlexandre GozlanArnaud LazarusGabriel LaurentAymeric MenetJean-Luc BonnetNiraj Varma
Published in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2024)
The new AI-based ILR-ECG-A lowered the rate of FP ICM diagnoses significantly, while retaining a > 98% sensitivity. This will likely alleviate considerably the clinical burden represented by the review of ICM events.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • left ventricular
  • heart rate variability
  • heart rate
  • risk factors
  • heart failure
  • atrial fibrillation