AI model achieves 89% accuracy in identifying arrhythmia-related abnormalities in atrial tissue
Researchers at the Universitat Politècnica de València developed an AI model that identifies and quantifies atrial tissue abnormalities linked to atrial cardiomyopathy. The model uses electrical recordings from the body's surface and achieved 89% accuracy.
artificial intelligence arrhythmia atrial cardiomyopathy medical imaging electrical recordings
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AI model achieves 89% accuracy in identifying arrhythmia-related abnormalities in atrial tissue
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