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AI heart disease detection

ECG readings similar to those produced by an Apple Watch

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AI system using Apple Watch-style ECG shows strong accuracy in detecting heart disease

Key points

  • Yale researchers trial AI tool that reads single-lead ECG data similar to that captured by an Apple Watch
  • Early results suggest around 92% accuracy compared with hospital-grade tests
  • System could support earlier screening for structural heart disease, but more research is needed

A smartwatch could one day help detect serious heart conditions earlier, after researchers reported promising results from an artificial intelligence tool designed to analyse ECG readings similar to those produced by an Apple Watch.

What the study looked at

Diagnosing structural heart disease, which includes problems such as damaged valves, thickened heart muscle and reduced pumping function, typically requires specialist equipment such as an echocardiogram. Smartwatches already offer single-lead ECG readings, but these are generally limited to identifying rhythm issues like atrial fibrillation.

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