Abstract Background Systematic reviews of Randomized Controlled Trials (RCTs) are an
important part of the evidence-based medicine paradigm. However, the creation of such …

Background In the field of structured information extraction, there are typically semantic and
syntactic constraints on the output of information extraction (IE) systems. These constraints …

The paradigm of evidence-based medicine requires that medical decisions are made on the
basis of the best available knowledge published in the literature. Existing evidence is often …

This review aims to explore the potential of artificial intelligence (AI) in coronary CT
angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because …

We present a deep learning based information extraction system that can extract the design
and results of a published abstract describing a Randomized Controlled Trial (RCT). In …

Objective An important criterion for selecting clinical trials to be compared in systematic
reviews and meta-analyses is that they measure the same outcomes. However, this …

Background The evidence-based medicine paradigm requires the ability to aggregate and
compare outcomes of interventions across different trials. This can be facilitated and partially …

As the number of clinical trials carried out and published worldwide keeps growing, better
tools for synthesizing the available knowledge become increasingly important. It still …

Background Evidence-based medicine propagates that medical/clinical decisions are made
by taking into account high-quality evidence, most notably in the form of randomized clinical …

The paradigm of evidence-based medicine requires that medical decisions are taken based
on available, verified and high quality evidence. Such evidence has to be obtained from …