Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports

Background Despite advances in natural language processing (NLP), extracting information from clinical text is expensive. Interactive tools that are capable of easing the construction, review, and revision of NLP models can reduce this cost and improve the utility of clinical reports for clinical and secondary use. Objectives We present the design and implementation of an interactive NLP tool for identifying incidental findings in radiology...