The AccuRhythm AI upgrade for implantable loop recorders reduced the incidence of false positive alarms from 55.5% before the upgrade to 15.1% after the upgrade.
Cohort (n=800)
Yes
Does the AccuRhythm AI upgrade reduce false alarms and physician workload in patients with implantable loop recorders?
The AccuRhythm AI upgrade for implantable loop recorders significantly reduces false positive alarms and physician workload, though maintaining an R-wave sensing amplitude above 0.2 mV remains essential.
Absolute Event Rate: 15.1% vs 55.5%
Abstract Background Implantable loop recorders (ILR) have been used widely over past years. In patients with ILR, remote monitoring is now-days a must according to recent HRS guidelines but the amount of workload needed to filter all the alarms is incompatible with normal clinical practice. The new released Linq II is equipped by AI and recently (05/2024) all Reveal Linq were remotely upgraded with artificial intelligence. Since the number of false alarms detected by these devices without AI is up to 69.7%, artificial intelligence could be a game changer regarding remote management and telemedicine. Purpose Evaluating the efficacy of AI, applied to ILRs, in reduction of false alarms and physician work-load remote monitoring related. Methods Retrospective multicentric study. Patients with Reveal Linq or Linq II.We analyzed the quantity of false alarms detected by AI on total cohort, the efficacy of remote AI upgrading Reveal Linq implanted prior AI and the reduction of physician work-load related to false alarms.Specifically, we evaluated every patient who received Reveal Linq (465 patients) before AI upgrade (05/2024), comparing the incidence of False Alarms prior and after AI upgrade and correlating it to R wave sensing value. Results 800 patients were enrolled.Automatic AccuRhythm report revealed a 62% reduction in falsely detected pauses and 33% reduction in false diagnoses of atrial fibrillation, estimating a reduction of physician workload of 210 hours over 6 months. Furthermore, we conducted a patient-by-patient analysis evaluating the cohort of patient being implanted with Reveal Linq (465 patients) prior implementation of AI: False positives were detected in 55.5% (n=258) of patients before AI implementation while, after AI upgrade, this rate dropped to 15.1% (n=70).The AccuRhythm AI upgrade successfully eliminated false positive alarms in 73% of patients that were experiencing false alarms before the upgrade. Analyzing the role of R-wave sensing amplitude we noticed that false positives alerts were present, before AI upgrade, mainly in patients with R wave amplitude less than 0,5 mV whereas, after , FP were present only in patient with less that 0,2 mV R wave amplitude. Conclusion The integration of AI in ILRs through the AccuRhythm AI upgrade, demonstrates a significant reduction in false alarms and an improvement in efficiency of remote monitoring.This highlights the potential of AI to alleviate the clinical burden associated with false positive alerts, thereby enhancing the accuracy of arrhythmia detection, and reducing physician workload.The findings suggest that AI can transform remote patient management, offering a promising solution for optimizing clinical practice in the era of telemedicine.Nevertheless, the amplitude of R-wave sensing continues to be a critical factor in minimizing false alarm rates.Achieving a sensing threshold above 0.2 mV remains essential, even in the context of AI era, as essential as operator intelligence.
Cocchiara et al. (Sat,) conducted a cohort in Patients with implantable loop recorders (n=800). AccuRhythm AI upgrade vs. Before AI upgrade was evaluated on Incidence of false positive alarms. The AccuRhythm AI upgrade for implantable loop recorders reduced the incidence of false positive alarms from 55.5% before the upgrade to 15.1% after the upgrade.