Radiology well-positioned to integrate AI, but concerns remain

Why? In part because of AI’s high performance in analyzing images and radiology’s established digital workflow and image storage protocols, wrote co-authors Pranav Rajpurkar, PhD, of Harvard Medical School in Boston and Dr.¬†Matthew Lungren of Stanford University and the University of California, San Francisco.

“[The] use of AI in radiology has shown great promise in detecting and classifying abnormalities on plain radiographs, [CT] scans, and [MRI] scans, leading to more accurate diagnoses and improved treatment decisions,” they noted.

In their review, the pair outlined some of AI’s…

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