Various natural language processing (NLP) algorithms have been applied in the literature to
analyze radiology reports pertaining to the diagnosis and subsequent care of cancer …

Background Natural language processing (NLP) has a significant role in advancing
healthcare and has been found to be key in extracting structured information from radiology …

Natural Language Processing (NLP) has gained prominence in diagnostic radiology,
offering a promising tool for improving breast imaging triage, diagnosis, lesion …

BACKGROUND A key challenge to mining electronic health records for mammography
research is the preponderance of unstructured narrative text, which strikingly limits usable …

Background Recent advances in performance of natural language processing (NLP)
techniques have spurred wider use and more sophisticated applications of NLP in radiology …

Radiological reporting has generated large quantities of digital content within the electronic
health record, which is potentially a valuable source of information for improving clinical care …

Background Manually extracted data points from health records are collated on an
institutional, provincial, and national level to facilitate clinical research. However, the labour …

The medical literature has been growing exponentially, and its size has become a barrier for
physicians to locate and extract clinically useful information. As a promising solution, natural …

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 …

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