The Amazing Ways How Artificial Intelligence And Machine Learning Is Used In Healthcare

Since heart disease is a primary killer of human beings around the world, it's no surprise that effort and focus from many AI innovators is on heart disease diagnosis and prevention. The current process to determine an individual's risk factor for a heart attack is to look at the American College of Cardiology/American Heart Association's (ACC/AHA) list of risk factors that include age, blood pressure and more. However, this is really a simplistic approach and doesn't take into account medications someone might be on, the health of the patient's other biological systems and other factors that could increase odds of a heart ailment. Several research teams, including those at Carnegie Mellon University and a study from Stephen Weng and his associates at University of Nottingham in the United Kingdom, are working toward enhancing machine learning so algorithms will be able to predict (better than humans) who is at risk and when they might be at risk for a heart attack. Preliminary results of the AI algorithms were significantly better at predicting heart attacks than the ACC/AHA guidelines.