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

Background Systematically screening published literature to determine the relevant
publications to synthesize in a review is a time-consuming and difficult task. Large language …

Understanding species distributions is a global priority for mitigating environmental
pressures from human activities. Ample studies have identified key environmental (climate …

Background: The reliable and usable (semi) automation of data extraction can support the
field of systematic review by reducing the workload required to gather information about the …

Background Machine learning and automation are increasingly used to make the evidence
synthesis process faster and more responsive to policymakers' needs. In systematic reviews …

Background The screening process for systematic reviews is resource-intensive. Although
previous machine learning solutions have reported reductions in workload, they risked …

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 …

Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the
needs of the decision‐maker, while also maintaining quality and credibility. This systematic …

We aimed to evaluate the performance of supervised machine learning algorithms in
predicting articles relevant for full‐text review in a systematic review. Overall, 16,430 …

Ecology and evolutionary biology, like other scientific fields, are experiencing an
exponential growth of academic manuscripts. As domain knowledge accumulates, scientists …