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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