Radiology Imaging Follow-up Triggered by AI

From the NEJM Catalyst event AI and Machine Learning for Health Care Delivery, sponsored by Advisory Board, March 24, 2022. In the special artificial intelligence theme issue of NEJM Catalyst Innovations in Care Delivery, "Preventing Delayed and Missed Care by Applying Artificial Intelligence to Trigger Radiology Imaging Follow-up" explores a Northwestern Medicine initiative that uses recurrent neural networks and natural language processing to examine radiology reports for findings necessitating follow-up. Speaking at the NEJM Catalyst "AI and Machine Learning for Health Care Delivery" event, senior author Mozziyar Etemadi, MD, PhD, describes the In Depth article. Most people outside of health care associate radiology with images from X-rays, CT scans, and MRIs. But to doctors who are not radiologists, what comes to mind are large blocks of text from radiology reports, which can be a lot to parse through, Etemadi says.