However since doctors are only human, sometimes they might miss certain things, which is why researchers at the University of Nottingham in the UK have developed (via Engadget) a machine learning algorithm that can predict a heart attack better than a human doctor can, meaning that there is the potential that it could save more lives.
Based on the system that the American College of Cardiology/American Heart Association has set out, it can guess a person’s risk of a heart attack about 72.8% of the time, but with AI and machine learning, it raised that number to 74.5% to 76.4%. Out of the 83,000 patient set of test records, this means that an additional 355 lives could have been saved.
This system is still a work in progress and the researchers are hoping to include other factors in the future, such as lifestyle and genetics that will hopefully improve upon its accuracy.