Xconomy’s Ben Romano reports how CuraCloud™ A.I. is being embedded in clinical workflows to expedite radiologist review of critical cases: With Triage System, Companies See Toehold for A.I. in Radiology. Excerpt:

“Years ago, radiology underwent a radical transformation with the shift from film to widespread use of digital image displays. That set the stage for the kinds of artificial intelligence technologies that promise—or threaten, depending on your perspective—to upend the profession again today.

As with any new technology that would impact the healthcare industry, even a relatively small corner of it, a major challenge persists: How can it find a way through the medical bureaucracies and into the harried routines of practicing healthcare providers?

That’s where a company called Clario sees its opening. Hundreds of radiologists already use the Seattle firm’s software to manage work in their increasingly large practice groups. Now, Clario is teaming with CuraCloud, an under-the-radar Seattle startup building image analysis, genomics, and natural language processing technologies, to develop an A.I. tool for radiologists that would automatically identify life-or-death radiographic exams and move them to the top of the radiologist’s queue.

“What our A.I. can do is escalate the priority to ‘stat’: look at this exam next,” says Ed Butler, vice president of marketing at CuraCloud. “It shortens the time between [taking the scan] and the radiologist actually looking at it, based on the severity of the situation.” …

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