Language-based AI model spots early heart disease in ECGs, reaching 94.2% accuracy (opens in new tab)

A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for language processing, can be used to detect heart disease from electrocardiograms (ECGs), according to research published in the International Journal of Medical Engineering and Informatics. Tests show it works well with data from several well-known medical datasets.