Technologies and methods to speed up the production of systematic reviews by reducing
the manual labour involved have recently emerged. Automation has been proposed or used …

More than 50 000 papers have been published about COVID-19 since the beginning of
2020 and several hundred new papers continue to be published every day. This incredible …

Background The large and growing number of published studies, and their increasing rate of
publication, makes the task of identifying relevant studies in an unbiased way for inclusion in …

Research publication can both communicate and miscommunicate. Unless research is
adequately reported, the time and resources invested in the conduct of research is wasted …

We present a corpus of 5,000 richly annotated abstracts of medical articles describing
clinical randomized controlled trials. Annotations include demarcations of text spans that …

Systematic reviews, a cornerstone of evidence-based medicine, are not produced quickly
enough to support clinical practice. The cost of production, availability of the requisite …

Objective The objectives of this scoping review are to identify the reliability and validity of the
available tools, their limitations and any recommendations to further improve the use of …

Large Language Models (LLMs) are at the forefront of NLP achievements but fall short in
dealing with shortcut learning, factual inconsistency, and vulnerability to adversarial inputs …

Objective To develop and evaluate RobotReviewer, a machine learning (ML) system that
automatically assesses bias in clinical trials. From a (PDF-formatted) trial report, the system …

Background Automation of the parts of systematic review process, specifically the data
extraction step, may be an important strategy to reduce the time necessary to complete a …