Systematic reviews are comprehensive literature reviews for a highly focused research
question. These reviews are considered the highest form of evidence in medicine. Complex …

Artificial intelligence (AI) has acquired notorious relevance in modern computing as it
effectively solves complex tasks traditionally done by humans. AI provides methods to …

Formulating Boolean queries for systematic review literature search is a challenging task.
Commonly, queries are formulated by information specialists using the protocol specified in …

We present an open source tool, searchrefiner, for researchers that conduct medical
systematic reviews to assist in formulating, visualising, and understanding Boolean queries …

Healthcare has well-known challenges with safety, quality, and effectiveness, and many see
artificial intelligence (AI) as essential to any solution. Emerging applications include the …

Background Study-based registers facilitate systematic reviews through shortening the
process for review team and reducing considerable waste during the review process. Such a …

Background: The application of machine learning (ML) tools (MLTs) to support clinical trials
outputs in evidence-based health informatics can be an effective, useful, feasible, and …

With the accelerating growth of the academic corpus, doubling every 9 years, machine
learning is a promising avenue to make systematic review manageable. Though several …

Estimates of treatment effects/differences derived from controlled comparisons are subject to
uncertainty, both because of the quality of the data and the play of chance. Despite this …

Searching medical literature for synthesis in a systematic review is a complex and labour
intensive task. In this context, expert searchers construct lengthy Boolean queries. The …