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

Systematic reviews and meta-analysis are the cornerstones of evidence-based decision
making and priority setting. However, traditional systematic reviews are time and labour …

The study compares an artificial intelligence technology with traditional manual search of
literature databases to assess the accuracy and efficiency of retrieving relevant articles for …

Background Title-abstract screening in the preparation of a systematic review is a time-
consuming task. Modern techniques of natural language processing and machine learning …

Using genetically modified animals to model neurodevelopmental conditions helps better
our understanding of biology underlying these conditions. Animal research has unique …

Background Despite extensive investment, the development of effective treatments for
Alzheimer's disease (AD) has been largely unsuccessful. To improve translation, it is crucial …

Osteonecrosis of the femoral head (ONFH) is a kind of disabling disease, given that the
molecular mechanism of ONFH has not been elucidated, it is of significance to use …

BACKGROUND: Trace amine-associated receptor 1 (TAAR1) agonism shows promise for
treating psychosis, prompting us to synthesise data from human and non-human studies …

Rapid review (RR) could accelerate the traditional systematic review (SR) process by
simplifying or omitting steps using various shortcuts. With the increasing popularity of RR …

The screening process needs the most time of a literature review. An automated approach
saves a lot of time, making it easier for researchers to review literature. Most current …