Future Innovations in Novel Detection for Atrial Fibrillation (FIND-AF): pilot study of an electronic health record machine learning algorithm-guided intervention to identify undiagnosed atrial fibrillation
Authors: Ramesh Nadarajah, Ali Wahab, Catherine Reynolds, Keerthenan Raveendra, Deborah Askham, Richard Dawson, John Keene, Sagar Shanghavi, Gregory Y H Lip, David Hogg, Campbel Cowan, Jianhua Wu, Chris P Gale .
Summary:
Pilot study that used a machine learning algorithm applied to primary care EHR data to stratify patients’ risk of developing AF over six months. High- and low-risk individuals (without known AF) were enrolled into remote ECG monitoring (using a Zenicor device) to detect previously undiagnosed AF.
Key Findings:
- As of Sept 2025, study remains active but no longer recruiting; NCT05898165.