Managing Incidental Findings

Valeria Makeeva, MD; Kirsten Schofield, MS; Melissa Davis, MBA, MD; Nadja Kadom, MD


Appl Radiol. 2021;50(6):22-26. 

In This Article

Natural Language Processing

Natural language processing has emerged as a promising building block towards full automation of tracking systems.[52–55] NLP-enabled applications can extract information from radiology reports and identify text that represents either AIFs or follow-up ecommendations.[48,56] Currently, NLP tools can identify radiology reports with follow-up recommendations entered into a tracking system, but chart review and additional follow-up actions still require dedicated staffing.