Prof. Siegel thinks that AI will be increasingly integrated as part of radiologists’ workflow.
“We're going to be using natural language processing to extract information from the electronic medical record, so that we'll be able to have the information we need as we're carrying out image interpretation. And it may be that we’ll move to ‘best-of breed’ AI applications rather than the traditional PACS, or the traditional electronic health record, it may be that we’ll be using more smartphone-like devices that utilize multiple AI applications.
Rather than these applications just doing one off things, such as finding lung nodules or intracranial hemorrhage, we’ll have packages that are used for multiple sclerosis, stroke, trauma etc. that will help us with decision support,” he said. “And I think we're going to be seeing an increasing number of screening studies, as time goes on. I think AI is going to allow us to be able to make predictions and do more intelligent screening studies.”
“One of the things that will be emphasized in the next few years in AI, is not only that it will be used for making findings, but also in looking at quantitative change from prior studies, which is something much more akin to what radiologists actually do,” continued Prof. Siegel.
“I foresee more combination of multiple modalities with AI analysis and ensemble complementary applications working to achieve consensus. In addition, I envisage that patients will begin to have access to radiology analysis packages that are sold as apps but not FDA cleared developed around the world.”
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