AI model achieves 89% accuracy in identifying arrhythmia-related abnormalities in atrial tissue

AI Summary

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.

Researchers from the COR group at the Institute of Information and Communications Technologies (ITACA) of the Universitat Politècnica de València (UPV) have developed an artificial intelligence model capable of locating and quantifying tissue abnormalities associated with atrial cardiomyopathy using electrical recordings from the body's surface.