Heart disease is the leading cause of death for both men and women in America. According to the CDC, approximately 1 out of every 4 deaths is related to heart disease and over half a million people will die from it every year. It’s said the number of deaths is much higher when its effects are taken into consideration. Now, scientists are using artificial intelligence to predict the effects of heart disease before they happen. Not only is AI the wave of the future, it already currently predicts heart attacks better than doctors.
Heart attacks are notoriously difficult to predict. Scientists have recently revealed that self-teaching computers are capable of performing at a level well beyond standard medical guidelines – and could be quite beneficial for more advanced heart attack prediction. The technology could help millions of people.
As reported, “There’s a lot of interaction in biological systems,” says Stephen Weng, an epidemiologist at the University of Nottingham in the United Kingdom. Some of those interactions are counterintuitive: A lot of body fat can actually protect against heart disease in some cases. “That’s the reality of the human body,” Weng says. “What computer science allows us to do is to explore those associations.”
To conduct their study, Weng and his team compared four types of machine-learning algorithms and their use of medical guidelines. Without human interference, all of the algorithms utilized data analysis to create “predictive tools.”
The goal of the experiment was for the AI methods to identify patterns in a collection of medical records that were “associated with cardiac events.” They were all more successful than current medical guidelines. Weng is hopeful that the accuracy of AI technology could be improved even further.