| Literature DB >> 26262327 |
Lucas Oliveira1, Ranjith Tellis1, Yuechen Qian1, Karen Trovato1, Gabe Mankovich1.
Abstract
Advances in image quality produced by computed tomography (CT) and the growth in the number of image studies currently performed has made the management of incidental pulmonary nodules (IPNs) a challenging task. This research aims to identify IPNs in radiology reports of chest and abdominal CT by Natural Language Processing techiniques to recognize IPN in sentences of radiology reports. Our preliminary analysis indicates vastly different pulmonary incidental findings rates for two different patient groups.Entities:
Mesh:
Year: 2015 PMID: 26262327
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630