We followed a systematic approach based on the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …

Health care professionals produce abundant textual information in their daily clinical
practice and this information is stored in many diverse sources and, generally, in textual …

Background In 2012, a European initiative called S ingle Hub and Access point for pediatric
Rheumatology in Europe (SHARE) was launched to optimise and disseminate diagnostic …

Purpose To test the association of androgen deprivation therapy (ADT) in the treatment of
prostate cancer with subsequent Alzheimer's disease risk. Methods We used a previously …

Advances in machine learning (ML) and artificial intelligence offer tremendous potential
benefits to patients. Predictive analytics using ML are already widely used in healthcare …

Randomized controlled trials have traditionally been the gold standard against which all
other sources of clinical evidence are measured. However, the cost of conducting these …

Objectives: Detection of atrial fibrillation (AF) in post-cryptogenic stroke (CS) or transient
ischemic attack (TIA) patients carries important therapeutic implications. Methods: To risk …

Electronic health records (EHR) represent a rich and relatively untapped resource for
characterizing the true nature of clinical practice and for quantifying the degree of inter …

Background When developed jointly with clinical information systems, clinical data
warehouses (CDWs) facilitate the reuse of healthcare data and leverage clinical research …

Background Juvenile idiopathic arthritis-associated uveitis (JIA-U) can lead to poor visual
outcomes and impact a child's quality of life (QOL) and function. Our aim is to identify risk …