Artificial Intelligence (AI) Can Now Predicts Heart Attacks Better Than Doctors

A team of researchers at the University of Nottingham, UK have developed a system that uses AI to predict heart attacks better than doctors. This machine-learning algorithm can now predict the likelihood of heart attacks and strokes in people just as any doctor, only more accurately. As reported in Science, this new method employs artificial intelligence (AI) is scientifically proven to be capable of performing better at studying cardiovascular disease than the standard medical guideline. After a number of studies, The American College of Cardiology/American Heart Association (ACC/AHA) has developed a series of guideline based on eight primary factors such as age, blood pressure and cholesterol level with four different machine-learning languages. This system is believed to predict heart risk by 72.8 percent. Stephen Weng and his team at the University of Nottingham fed the data of 378,256 patients from the UK, in which about 295,000 were first used for generating their initial predictive model.