Key result
AI-enhanced ILRs linked to ~44% fewer nonactionable alerts in pediatric patients.
Why the study?
AI-based algorithms reduce alert burden in implantable loop recorders, but their performance in pediatric populations has not been previously evaluated.
Does AI-based filtering in implantable loop recorders reduce nonactionable alerts and improve clinical workflow in pediatric patients?
Observational (n=45)
No
Does AI-based filtering in implantable loop recorders reduce nonactionable alerts and improve clinical workflow in pediatric patients?
AI-enhanced implantable loop recorders significantly reduce the burden of nonactionable alerts, particularly pause alerts, saving substantial clinic workflow time in pediatric patients.
May ease pediatric ILR alert burden; extends adult data but leaves open prospective validation.
INTRODUCTION: Artificial intelligence (AI)-based algorithms have been developed to reduce alert burden in patients with implantable loop recorders (ILRs), but their performance in pediatric populations has not been previously evaluated. METHODS: We retrospectively analyzed pediatric patients implanted with an AI-enhanced ILR (Linq2, Medtronic) incorporating AI-based filtering (AccuRhythm algorithms). The impact of AI on nonactionable alerts (NAAs) and estimated clinical workflow was assessed using previously published time-and-motion models. RESULTS: Forty-five patients (10.8 ± 4.7 years) were included. AI-based filtering significantly reduced NAAs (43.7%), driven predominantly by a marked reduction in pause-related alerts (75%), corresponding to an estimated saving of 14 clinic hours over 3 months (58 projected hours annually). CONCLUSIONS: In this exploratory pediatric experience, AI-enhanced ILR monitoring substantially reduced the burden of NAAs, particularly for pause alerts. These findings highlight the importance of population-specific AI algorithms and suggest that AI-based filtering may improve the efficiency and sustainability of monitoring in pediatric electrophysiology.
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Ciriello et al. (2026) conducted an observational in Pediatric patients with implantable loop recorders (n=45). AI-enhanced implantable loop recorder with AI-based filtering was evaluated on Nonactionable alerts (NAAs) and estimated clinical workflow. AI-enhanced implantable loop recorders reduced nonactionable alerts by 43.7% in pediatric patients, saving an estimated 14 clinic hours over 3 months.
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