Medical Xpress February 10, 2025
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.
Linda Johnson, Associate Professor of Cardiovascular Epidemiology at Lund University in Sweden, led the study alongside Jeff Healey, senior scientist at the Population Health Research Institute, a joint institute of McMaster University and Hamilton Health Sciences in Canada. The findings are published in...
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