VIDEO: Use cases and implementation strategies for radiology artificial intelligence

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He has been heavily involved in radiology informatics and has seen up close the evolution of radiology toward deeper integration with artificial intelligence (AI). Kahn explains there is a lot of work involved to integrate AI into radiology systems. He also said the role of AI is becoming more important as the U.S. faces a growing shortage of radiologists, and the technology can help augment radiologists to do more and improve patient care. "Every time someone comes in and asks to install an AI application in the radiology department, it means someone has to get the legal agreements and all the contracting done, but then you have to connect it in with your systems," Kahn said. This includes connecting it, ideally, within the EMR, PACS and other systems used by radiology.

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