Could a robot do my job as a radiologist? If you asked me 10 years ago, I would have said, "No way!" But if you ask me today, my answer would be more hesitant, "Not yet -- but perhaps someday soon." In particular, new "deep learning" artificial intelligence (AI) algorithms are showing promise in performing medical work which until recently was thought only capable of being done by human physicians. For example, deep learning algorithms have been able to diagnose the presence or absence of tuberculosis (TB) in chest x-ray images with astonishing accuracy.

Doctors have lots of tools for predicting a patient's health. But--as even they will tell you--they're no match for the complexity of the human body. Heart attacks in particular are hard to anticipate. Now, scientists have shown that computers capable of teaching themselves can perform even better than standard medical guidelines, significantly increasing prediction rates. If implemented, the new method could save thousands or even millions of lives a year.

Researchers from The United Kingdom stated that a self-taught artificial intelligence machine could pave the way in predicting heart attacks better than doctors. The mentioned machine was said to possibly save thousand to millions of people if implemented. In which aside from heart attacks, blocked arteries and strokes were mentioned as well. Yet, thanks to the team, the future of predicting heart attacks better are on the way. The study was reported to be done by the University of Nottingham who created a bunch of programs that could predict heart attack better and train themselves to learn more. The AI machine included four machine learning algorithms namely: random forest, logistic regression, gradient boosting, and neural networks.

Between 15 and 20 million people die every year from heart attacks and related illnesses worldwide, but now, artificial intelligence could help reduce that number with better predictive abilities. Doctors are not clairvoyant, but it looks like technology is getting awfully close. Thanks to a team of researchers at the University of Nottingham in the United Kingdom, we could be closer than ever before to predicting the future when it comes to patients' health risks. The scientists have managed to develop an algorithm that outperforms medical doctors when it comes to predicting heart attacks. And this, experts say, could save thousands or even millions of lives every year.

Sorry if not okay to post this. This is an automatic summary, original reduced by 80%. In an effort to predict these cases, many doctors use guidelines similar to those of the American College of Cardiology/American Heart Association. In the new study, Weng and his colleagues compared use of the ACC/AHA guidelines with four machine-learning algorithms: random forest, logistic regression, gradient boosting, and neural networks. Using record data available in 2005, they predicted which patients would have their first cardiovascular event over the next 10 years, and checked the guesses against the 2015 records.

Artificial intelligence may help prevent heart failure. Doctors have lots of tools for predicting a patient's health. But--as even they will tell you--they're no match for the complexity of the human body. Heart attacks in particular are hard to anticipate. Now, scientists have shown that computers capable of teaching themselves can perform even better than standard medical guidelines, significantly increasing prediction rates.