Background Systematic reviews provide a structured overview of the available evidence in
medical-scientific research. However, due to the increasing medical-scientific research …

Systematic reviews are vital for guiding practice, research and policy, although they are
often slow and labour‐intensive. Large language models (LLMs) could speed up and …

Background The systematic review of clinical research papers is a labor-intensive and time-
consuming process that often involves the screening of thousands of titles and abstracts …

Visual characteristics of the built environment affect how people perceive and experience
cities. For a long time, many studies have examined visual perception in cities. Such efforts …

Data extraction is a crucial, yet labor‐intensive and error‐prone part of evidence synthesis.
To date, efforts to harness machine learning for enhancing efficiency of the data extraction …

Systematic reviews are a cornerstone for synthesizing the available evidence on a given
topic. They simultaneously allow for gaps in the literature to be identified and provide …

Systematic reviews and metaanalyses, which involve thorough literature searches and
synthesis, are essential for evidence-based decisionmaking. With the growing number of …

Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

Large language models (LLMs) may facilitate and expedite systematic reviews, although the
approach to integrate LLMs in the review process is unclear. This study evaluates GPT-4 …

Purpose This study sought to analyze the correlation between artificial intelligence (AI) and
libraries and examine whether there were any shifts in research trends related to these two …