British researchers have created an AI tool that can spot individuals at risk of serious heart conditions before they show symptoms.
The University of Leeds collaborated with Leeds Teaching Hospitals NHS Trust to develop the system that detects warning signs of atrial fibrillation (AF).
This AI analyzes electronic health records considering factors such as age, sex, ethnicity, and existing health conditions.
The algorithm utilizes data from over 2.1 million people and has been validated against an additional 10 million records.
Participants identified as high-risk will receive a portable ECG device to monitor their heart rhythm, with plans to expand trials if successful.