BURLINGAME, CA - What are the most promising applications of artificial intelligence (AI) in radiology in the near future? Dr. Charles Kahn of the University of Pennsylvania believes that nonimaging applications could be among the most exciting new uses and discusses some of them in this video interview at the RSNA Spotlight Course: Radiology in the Age of AI.
Such applications include developing protocols for imaging studies, triaging patients so the most serious cases are seen first, and helping with hanging protocols -- all of which could help save radiologists time, according to Kahn. But there are also challenges to AI implementation, he notes.
"AI has an opportunity to have an impact throughout all the activities we do in radiology," Kahn said. "One of the areas that personally may actually have a greater impact on radiology practice and may come to the fore sooner in many ways are some of the nonimaging applications."
