Arrhythmias & electrophysiology
Optimising implantable loop recorder alerts with artificial intelligence: role of R-wave amplitude and workload reduction
Authors' conclusion
Use of AccuRhythm AI was associated with a significant reduction in FPs and clinician workload while preserving diagnostic accuracy. R-wave amplitude remained a key factor influencing alert specificity, emphasising the continued importance of optimal device implantation and signal quality.
Study context
- Population
- Patients with either Reveal LINQ or LINQ II implantable loop recorderspatients with either Reveal LINQ or LINQ II, 465 Reveal LINQ patients in the patient-level analysis
- Participants
- 800 patients
- Exposure
- False-positive (FP) rates and transmission burden before and after software-based artificial intelligence (AI) activation (AccuRhythm AI)
- Reveal LINQn = 465
- Outcome
- False pause alerts and false atrial fibrillation alerts with AI-based filtering
- Follow-up
- 6 months
Main finding
As reported in the abstract
6 months
Reduction in false pause alerts
62%
Reduction in false atrial fibrillation alerts
33%
Clinician hours saved over 6 months
210
Observational data: associations, not effects.
Further findings
FP+ patients (patients with ≥1 false-positive transmission), Reveal LINQ patients
- FP+ patients before AI activation
- 55.5%
- FP+ patients post-AI
- 15.1%
- Reduction P value
- P < 0.001
- Hours saved
- 1128
- Patient-level analysis among 465 Reveal LINQ patients
Residual false alerts by R-wave amplitude
- All residual false alerts occurred in patients with R-wave amplitudes <0.4 mV
- <0.4 mV
Original publication
Optimising implantable loop recorder alerts with artificial intelligence: role of R-wave amplitude and workload reduction. Heart. Published 27 August 2025. doi:10.
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