I was a bit surprised that you seem to consider the challenges to be "technical, political and regulatory". Why? Because obviously one word is missing and that'

I was a bit surprised that you seem to consider the challenges to be "technical, political and regulatory". Why? Because obviously one word is missing and that's "science". Maybe the lack of adoption of machine learning (I don't like to call something AI that really isn't) is due to the fact that medicine is more demanding on high quality scientific evidence than the IT industry. Related, Gerd Antes from Cochrane once wrote a very interesting piece on the promises of "Big Data" (which is kinda related) and that they still need to hold up to scientific evidence: http://www.labtimes.org/editorial/e_654.lasso http://www.labtimes.org/editorial/e_654.lasso