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Thu Aug 10, 2017, 01:34 PM

An 'AI' that can diagnose schizophrenia from a brain scan here's how it works (or doesn't)


Simple model reaches 75% accuracy

Analysis Scientists have had a crack at using simple machine-learning software to make psychiatry a little more objective.

Why, you ask. Well, rather than rely on a professional opinion from a human expert, as we've done so for years, why not ask a computer for a cold logical diagnosis?

One benefit of using code as opposed to a psychiatrist is that its results should be consistent across all patients, whereas your mental health assessment may differ from doctor to doctor. On the other hand, it's claimed this particular piece of software has a 74 per cent success rate when diagnosing people with schizophrenia meaning it misses more than a quarter of cases so don't quit medical school just yet.

A team from the Universities of Alberta, Calgary, and Memphis, together with folks from IBM, built the aforementioned program a computational model that predicts schizophrenia in humans with 74 per cent accuracy and published their findings in Nature partner journal Schizophrenia in May.

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