Natural language processing to identify ureteric stones in radiology reports

ConclusionsOur NLP tool demonstrated high specificity but low sensitivity at identifying CT KUB reports that are positive for ureteric stones. This was attributable to the lack of feature extraction tools tailored for analysing radiology text, incompleteness of the medical lexicon database and heterogeneity of unstructured reports. Improvements in these areas will help improve data extraction accuracy.
Source: Journal of Medical Imaging and Radiation Oncology - Category: Radiology Authors: Tags: Medical Imaging —Original Article Source Type: research