AI has learnt to predict heart attacks more accurately than doctors AI has learnt to predict heart attacks more accurately than doctors
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2 2 23 WHY THIS MATTERS IN BRIEF Every year millions of people die from heart disease and this new system could save thousands,... AI has learnt to predict heart attacks more accurately than doctors

WHY THIS MATTERS IN BRIEF

  • Every year millions of people die from heart disease and this new system could save thousands, perhaps tens of thousands of extra lives


 

Every year an estimated 20 million people die from heart disease, but now, hot on the heels of an artificial intelligence (AI) system that can predict death, a team of researchers from the University of Nottingham, the same university that’s found a way to regrow teeth from stem cells, have developed a machine learning algorithm that can predict an individuals likelihood of having a heart attack, or a stroke, better than any doctor.

 

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Over the past few decades the American College of Cardiology and the American Heart Association (ACC-AHA) has developed a series of guidelines to help doctors evaluate a patient’s cardiovascular risk, based on eight factors that include age, cholesterol level and blood pressure. And average, this system correctly guesses a person’s risk of getting heart disease with an accuracy of 72.8 percent.

You might think that’s already good enough – but Stephen Weng and his team wanted to make it even better so they built four computer learning algorithms and fed them data from over 380,000 patients.

Firstly, the new system used 295,000 records to build its internal predictive models, and then it used the remaining 85,000 records to test and refine them, and the result? A 74.5 to 76.4 percent accuracy and 1.6 percent fewer false alarms. After all, you don’t want to be told you’re likely to have a heart attack if you aren’t – doctors aren’t beasts you know…

Translating all of that into normal language what this all means is that out of the 85,000 records it analysed the new model could have saved 355 lives, but interestingly the AI system identified a number of risk factors and predictors not covered in the existing guidelines, like severe mental illness and the consumption of oral corticosteroids.

 

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“There’s a lot of interaction in biological systems,” said Weng, “that’s the reality of the human body. What computer science allows us to do is to explore those associations.”

So, as another AI moves in on human territory – and beats us, again – this time we should be thankful, but as surprising, and perhaps as shocking as this new announcement might be, don’t have a coronary. Chill, eat salad and watch the clouds pass by.

Matthew Griffin Global Futurist, Tech Evangelist, X Prize Mentor ● Int'l Keynote Speaker ● Disruption, Futures and Innovation expert

Matthew Griffin, Futurist and Founder of the 311 Institute is described as “The Adviser behind the Advisers”. Recognised in 2013, 2015 and 2016 as one of Europe’s foremost futurists, innovation and strategy experts Matthew is an award winning author, entrepreneur and international speaker who has been featured on Discovery, Kurzweil, TechCrunch, VentureBeat and other notable channels. Working hand in hand with accelerators, investors, governments, multi-nationals and regulators around the world Matthew shows them what the future holds, helps them transform their organisations, products, and services, and demonstrates how the combination of democratised, powerful emerging technologies is helping fuel cultural, industrial and societal change. Matthew’s clients include Accenture, Bain & Co, Bank of America, Booz Allen Hamilton, Boston Consulting Group, Dell EMC, Deloitte, Deutsche Bank, E&Y, Fidelity, Goldman Sachs, JP Morgan Chase, KPMG, McKinsey & Co, PWC, Qualcomm, SAP, Schroeder’s, Sequoia Capital, UBS, the UK’s HM Treasury, the USAF and many others.

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