Tool uses machine learning to analyse medical data for red flags relating to undiagnosed atrial fibrillation
Thousands of strokes could be averted in the UK each year after doctors developed an algorithm that spots patients at risk by scanning millions of GP records.
The tool uses machine learning to scour medical data for red flags that could identify patients with undiagnosed atrial fibrillation (AF), a heart condition that significantly increases stroke risk.
