Key result
AI-enhanced remote monitoring detects a true ~7-second pause amid false loop recorder alerts.
Why the study?
Implantable loop recorders often produce false alerts from undersensing or artifacts, making it challenging to identify clinically significant events among numerous device recordings.
Case Report (n=1)
No
AI-enhanced remote monitoring can help clinicians accurately detect clinically relevant arrhythmias, such as true asystolic pauses, amidst numerous false implantable loop recorder alerts caused by sensing abnormalities.
Answers are grounded in this paper and cite their sources.
ILR false pause alerts demand careful adjudication to avoid misdiagnosis; leaves open need for refined algorithms in prospective validation.
BACKGROUND: Implantable loop recorders (ILRs) are often implanted to investigate unexplained syncopal episodes. However, ILRs may produce false alerts due to undersensing or artifacts, thus requiring careful review of numerous device recordings, which makes it challenging to identify clinically significant events. CASE SUMMARY: We report a case of a 77-year-old woman with recurrent syncopal episodes, in whom a 7-second pause was detected by an ILR. Device interrogations showed multiple pause alerts that were identified as false events because of poor R sensing. However, the artificial intelligence (AI)-enhanced remote monitoring identified a true pause with blocked P waves, leading the patient to receive a pacemaker implantation. DISCUSSION: This case highlights the clinical value of AI-assisted remote monitoring in identifying clinically relevant arrhythmias among numerous device alerts. Improved automated filtering of ILR data may reduce diagnostic delays and help clinicians prioritize clinically significant events. TAKE-HOME MESSAGES: ILRs may generate numerous false alerts because of sensing abnormalities, complicating the identification of clinically relevant events in routine practice. AI-enhanced remote monitoring may improve diagnostic efficiency by identifying true arrhythmic events within large volumes of device-generated data and guiding timely management.
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Grimaldi et al. (2026) conducted a case report in Recurrent syncopal episodes and asystole (n=1). AI-enhanced remote monitoring of implantable loop recorder vs. Standard device interrogation was evaluated on Identification of true asystolic pause. AI-enhanced remote monitoring identified a true 7-second pause with blocked P waves among false loop recorder alerts in a 77-year-old woman, guiding pacemaker implantation.
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