AI is better than humans at analyzing long-term ECG recordings

In patients with symptoms such as irregular heartbeats, dizziness, or fainting, or in individuals that physicians suspect may have atrial fibrillation, many days of ECGs may be required for diagnosis — ‘long-term ECG recordings’. These recordings must then undergo a time-consuming and human resource-intensive review to identify heart rhythm abnormalities. In a large international study, researchers tested whether an AI model can replace humans in analyzing long-term ECG recordings. The results: 14 times fewer missed diagnoses by the AI.
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