Medicine is one of the hottest fields when it comes to applying AI to real-world problems, in particular using deep learning systems to detect disease in medical imagery. There have been promising early results, in particular DeepMind’s work on eye disease, but there’s been widespread skepticism around whether results would translate to the clinic.

Now the authors of a paper in The Lancet Digital Health have carried out the first systematic review and meta-analysis of all studies between January 2012 and June 2019 comparing deep learning models’ ability to detect disease through medical imaging to that of health professionals.

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