How Artificial Intelligence is Being Used in Radiology

In a recent article published in Radiology Today, Bibb Allen, MD, FACR, CMO of the ACR’s Data Science Institute (DSI), notes, “AI-lite” is already being used in radiology in a number of ways, such as computer-aided detection for cancer, auto-segmentation of organs in 3D postprocessing, natural language processing to facilitate critical results reporting, consultation of best guidelines for recommendations, and quantification and kinetics in postprocessing.

In the article, Allen goes on to say “We believe that AI is poised to significantly increase the value radiology professionals are able to provide their patients,” Allen says. “Adding information acquired from AI algorithms to our reporting and workflow can significantly improve patient care. While AI for imaging will not come all at once, early adopters of AI in their practices will be ready to be future leaders in health care.”

The publication also quotes Bradley J. Erickson, MD, PhD, an associate professor of biochemistry and molecular biology at the Mayo Clinic College of Medicine in Rochester, Minnesota, who notes that “AI is a broad field of many technologies for training computers to behave like intelligent beings. Machine learning—algorithms that focus on recognizing data patterns—is based on training data sets that include several examples and an answer—for example, images labeled “cancer” or “not cancer”—then, when given a new image, the algorithm makes a prediction such as “cancer” or “no cancer.” According to Dr. Erickson, some of the benefits of AI include ”
reducing workload by doing tedious tasks like segmenting structures. That can then enable more quantitative imaging, which most believe will improve the ‘product’ of radiology,” Erickson says. “It can also help to detect lesions that may be subtle, which can be particularly useful when the radiologist is tired or distracted. Finally, we and others are showing that it can find information in images that is not perceived by humans—things like molecular markers in tumors.”

Read Full Article in Radiology Today Here.

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