Scientists from the University of Nottingham have created an AI-based system that can more accurately predict heart attacks, factoring in multiple risk factors and potentially avoiding human error. “There remain a large number of individuals at risk of CVD who fail to be identified” by current tools, “while some individuals not at risk are given preventive treatment unnecessarily,” Weng and his colleagues explained in a recent research paper. The system, which is based on a computer model developed by researchers at the university, has been tested with patients who had previously suffered cardiac arrest or were considered to be at high risk. The neural network approach was tested over 10 years of trial data, correctly identifying 355 more CVD patients than human doctors and beating current guidelines by 7.6%.
Scientists from the University of Nottingham have created an AI-based system that can more accurately predict heart attacks, factoring in multiple risk factors and potentially avoiding human error. The system, which is based on a computer model developed by researchers at the university, has been tested with patients who had previously suffered cardiac arrest or were considered to be at high risk. The neural network approach was tested over 10 years of trial data, correctly identifying 355 more CVD patients than human doctors and beating current guidelines by 7.6%.