Artificial intelligence for ventricular arrhythmia capability using ambulatory electrocardiograms.
Joseph BarkerXin LiAhmed KotbAkash MavilakandyIbrahim AntounChokanan ThaitirarotIvelin KoevSharon ManFernando Soares SchlindweinHarshil DhutiaShui Hao ChinIvan Y TyukinWilliam B NicolsonGhulam Andre NgPublished in: European heart journal. Digital health (2024)
In this study, the AI performed better than current medical guidelines. The AI was able to accurately determine the risk of lethal arrhythmia from standard heart tracings for 80% of cases over a year away-a conceptual shift in what an AI model can see and predict. This method shows promise in better allocating implantable shock box pacemakers (implantable cardioverter defibrillators) that save lives.