Healthcare IT News January 16, 2019
Benjamin Harris

As machine learning rapidly expands into healthcare, the ways it “learns” may be at odds with clinical outcomes unless carefully controlled for, a new study shows.

Despite being touted as next-generation cure-alls that will transform healthcare in unfathomable ways, artificial intelligence and machine learning still pose many concerns with regards to safety and responsible implementation.

BMJ Quality and Safety has published a new study that identifies short-, medium- and long-term issues that machine learning will encounter in the healthcare space – hurdles that could prevent its successful implementation in a wide are of use cases.

With everything at stake, from research and clinical guidance to...

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