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Researchers use AI to predict cancer risk of lung nodules

Press releases may be edited for formatting or style | May 25, 2022 Artificial Intelligence X-Ray

“We’ve taken the first step here and shown that decision making is better if the AI tool is incorporated into radiology or pulmonology practice,” Dr. Vachani said. “The next step is to take the tool and do some prospective trials where physicians use the AI tool in a real-world setting. We are in the process of designing those trials.”

“Artificial Intelligence Tool for Assessment of Indeterminate Pulmonary Nodules Detected with CT.” Collaborating with Dr. Vachani were Roger Y. Kim, M.D., M.S.C.E., Jason L. Oke, M.Sc., D.Phil., Lyndsey C. Pickup, D.Phil., Reginald F. Munden, M.D., D.M.D., M.B.A., Travis L. Dotson, M.D., Christina R. Bellinger, M.D., Avi Cohen, M.D., Michael J. Simoff, M.D., Pierre P. Massion, M.D., Claire Filippini, M.B.Ch.B., and Fergus V. Gleeson, Ph.D., FRCP, FRCR.

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Radiology is edited by David A. Bluemke, M.D., Ph.D., University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, and owned and published by the Radiological Society of North America, Inc.


About RSNA
RSNA is an association of radiologists, radiation oncologists, medical physicists and related scientists promoting excellence in patient care and health care delivery through education, research and technologic innovation. The Society is based in Oak Brook, Illinois.

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