The COVID-19 pandemic is the most devastating public health crisis in at least a century and
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …

Natural language processing (NLP) is rapidly becoming an important topic in the medical
community. The ability to automatically analyze any type of medical document could be the …

COVID-19 is widespread worldwide and seriously affects the daily life and health of humans.
Countries around the world are taking necessary measures to curb the spread. However …

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

Malignant glioma remains incurable largely due to the aggressive and infiltrative nature, as
well as the existence of blood–brain-barrier (BBB). Precise diagnosis of glioma, which aims …

Background Recent advances in natural language processing (NLP) have heightened the
interest of the medical community in its application to health care in general, in particular to …

Background Abstraction of critical data from unstructured radiologic reports using natural
language processing (NLP) is a powerful tool to automate the detection of important clinical …

Objectives: Current state-of-the-art natural language processing (NLP) techniques use
transformer deep-learning architectures, which depend on large training datasets. We …

Background Procedural details of mechanical thrombectomy in patients with ischemic stroke
are important predictors of clinical outcome and are collected for prospective studies or …

Purpose Data extraction from radiology free-text reports is time consuming when performed
manually. Recently, more automated extraction methods using natural language processing …