Radiology reports are unstructured free text documents that describe abnormalities in
patients that are visible via imaging modalities such as X-ray. The number of imaging …

The migration of imaging reports to electronic medical record systems holds great potential
in terms of advancing radiology research and practice by leveraging the large volume of …

Background Radiology reports are usually narrative, unstructured text, a format which
hinders the ability to input report contents into decision support systems. In addition, reports …

Chest radiograph reporting is time-consuming, and numerous solutions to automate this
process have been proposed. Due to the complexity of medical information, the variety of …

We built a natural language processing (NLP) method to automatically extract clinical
findings in radiology reports and characterize their level of change and significance …

Radiological reports are a valuable source of information used to guide clinical care and
support research. Organizing and managing this content, however, frequently requires …

Radiology reports are one of the most important medical documents that a diagnostician
looks into, especially in the emergency context. They provide the emergency physicians with …

Background Despite advances in natural language processing (NLP), extracting information
from clinical text is expensive. Interactive tools that are capable of easing the construction …

Abstract Rule-based Natural Language Processing (NLP) pipelines depend on robust
domain knowledge. Given the long tail of important terminology in radiology reports, it is not …

Radiology reports are vital elements of directing patient care. They are usually delivered in
free text form, which makes them prone to errors, such as omission in reporting radiological …