With the ability to store and compute data in the cloud, artificial intelligence is poised to take the healthcare industry by storm. Artificial intelligence is poised to revolutionize radiology, simplify clinical decision-making and take the healthcare industry by storm. But enabling AI requires huge amounts of processing power and data in order to analyze electronic health records. This need could spur a shift from on-premises systems to the cloud.The University of Pittsburgh Medical Center (UPMC) is one of the organizations tapping the cloud to facilitate AI operations. A project to detect bladder cancer earlier and more precisely is just one of the AI initiatives under way at UPMC. Today, cytotechnicians examine highly magnified urine sample slides that might include 100,000 cells, looking for five or six misshapen cells that suggest need for a biopsy.These needle-in-a-haystack problems are what were trying to automate, says Adam Berger, CTO at UPMC Enterprises, the health systems commercial arm. Were trying to streamline problems that are inherently amenable to computation, he says of reducing the time technicians spend on slides, cutting costs and increasing accuracy. Its not necessarily replacing clinicians, but streamlining the tedious part of diagnosis.

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