The Telegraph My details My newsletters Logout Upgrade to Premium My details My newsletters Logout The Telegraph Inside the AI healthcare revolution: meeting the robots that can detect Alzheimer's and depression Credit: WinterLight Labs 28 August 2017 • 7:00am This is the second in a three-part series reporting from Toronto’s booming Artificial Intelligence sector where new technologies are being pioneered that will permanently change all of our lives Just 45 seconds in the company of scientist Frank Rudzicz and his machines is all it takes to determine whether or not you are suffering from Alzheimer’s disease.
 In that time, the complex Artificial Intelligence (AI) algorithms that the 37-year-old and his team have developed are able to pick apart your voice and predict the severity of the disease to an accuracy of around 82 per cent (and rising).
 First, there is your actual use of language.
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 All the experts predict that in the coming years this ceding of our biological data to machines will rise exponentially to the point where each of us carries around what is, in essence, our own portable GP.
 According to Android Dreams, the new book written by the eminent Australian artificial intelligence professor Toby Walsh, smartphones may also take selfies to identify suspect melanomas and monitor the health of eyes.
 AI-equipped toilets, meanwhile, will unprompted analyse samples of urine and stool and alert us to anything amiss.
 In his book, Professor Walsh also offers another prediction: that by 2050, many of us will have had our genes sequenced making it far easier to identify and treat genetic disorders which presently affect some 350m people worldwide.
 In a different building in Toronto’s Mars Discovery District, another pioneer in the field of artificial intelligence is working on that exact problem.
 The aim of Brendan Frey’s work is simple.
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 “We have an exponentially growing set of data to allow us to peer into cells and read out what is changing.
 There is only one solution: artificial intelligence.
 It’s the best technology we have in our systems to understand complex data.