How AI can change radiology practice for the better

by Sean Ruck, Contributing Editor | January 08, 2019
Artificial Intelligence Health IT
From the January/February 2019 issue of HealthCare Business News magazine


One of the most exciting and promising uses of AI is in image acquisition and reconstruction. “We’re doing a lot of work in this area on our own, but we also have a research partnership with Facebook. Our goal is to accelerate MR and CT by a factor of 10. “In MR what that means is that we can do imaging in five minutes – as fast as you can do an X-ray. If we can do that, it takes away one of the reasons to use X-ray over MR. The other challenge in using MR is lowering cost. For CT, we know that a chest CT can give more information than a chest X-ray, but we can’t replace all chest x-rays with CT because of radiation dose. However, if we were able to use AI to allow us save time in MR and decrease radiation dose in CT, again we’d be able to significantly change our imaging paradigms.

One way AI won’t impact radiology, in Recht’s opinion, is by replacing radiologists. More people will be getting imaging exams in the coming years and the exams are getting larger. AI will help radiologists keep up without burning out, will be used to help radiologists increase their accuracy, and will give them more opportunities to pursue aspects of their jobs that can best benefit from their experience and expertise. “My daughter is a radiology resident and the way she is going to practice will be incredibly different than the way we practice today, but I am confident AI is going to make her career most exciting and fulfilling,” Recht said.

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