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Article

Reimagining atrial fibrillation screening beyond age-based thresholds using AI

Details

Citation

Menon TP, Mahajan A & Powell D (2026) Reimagining atrial fibrillation screening beyond age-based thresholds using AI. npj Digital Medicine. https://doi.org/10.1038/s41746-026-02485-w

Abstract
Atrial fibrillation (AF) affects over 50 million people worldwide and carries substantial downstream morbidity, mortality, and cost. Yet many contemporary screening programs rely primarily on age thresholds—an approach that is operationally simple but can be imprecise for identifying near-term risk. AI applied to handheld single-lead ECGs can predict incident AF with accuracy similar to established clinical risk scores, but real-world deployment remains limited by signal noise, workflow complexity, and unclear risk thresholds.

Journal
npj Digital Medicine

StatusEarly Online
Publication date online31/03/2026
Date accepted by journal14/02/2026
PublisherSpringer Science and Business Media LLC
ISSN2398-6352
eISSN2398-6352

People (1)

Dr Dylan Powell

Dr Dylan Powell

Lecturer in Public Health & Innovation, Health Sciences 黑料不打烊

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