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: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …

We present the construction of three annotated corpora to serve as gold standards for
medical natural language processing (NLP) tasks. Clinical notes from the medical record …

To help maintain a complete, accurate and timely Problem List, we are developing a system
to automatically retrieve medical problems from free-text documents. This system uses …

Background In the realm of knee pathology, magnetic resonance imaging (MRI) has the
advantage of visualising all structures within the knee joint, which makes it a valuable tool …

The increasing adoption of electronic health records (EHRs) and the corresponding interest
in using these data for quality improvement and research have made it clear that the …

Privacy and ethical considerations limit access to large-scale clinical datasets, particularly
clinical text data, which contain extensive and diverse information and serve as the …

The importance of incorporating Natural Language Processing (NLP) methods in clinical
informatics research has been increasingly recognized over the past years, and has led to …

Natural language processing (NLP) is a set of automated methods to organise and evaluate
the information contained in unstructured clinical notes, which are a rich source of real-world …

Observational research using data from electronic health records (EHR) is a rapidly growing
area, which promises both increased sample size and data richness-therefore …