Systematic reviews of diagnostic test accuracy (DTA) studies are fundamental to the
decision making process in evidence based medicine. Although such studies are regarded …

Abstract Context Systematic Literature Review (SLR) studies aim to identify relevant primary
papers, extract the required data, analyze, and synthesize results to gain further and broader …

Improving the reproducibility of biomedical research is a major challenge. Transparent and
accurate reporting is vital to this process; it allows readers to assess the reliability of the …

We report a systematic review and meta-analysis of studies that assessed the
antinociceptive efficacy of cannabinoids, cannabis-based medicines, and endocannabinoid …

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

Background: Per-and polyfluoroalkyl substances (PFAS) are a large class of synthetic (man-
made) chemicals widely used in consumer products and industrial processes. Thousands of …

Background Systematic reviews and meta-analyses provide the highest level of evidence to
help inform policy and practice, yet their rigorous nature is associated with significant time …

Natural language processing (NLP) is a subfield of artificial intelligence devoted to
understanding and generation of language. The recent advances in NLP technologies are …

Background Human exposure to per-and polyfluoroalkyl substances (PFAS) has been
primarily attributed to contaminated food and drinking water. However, additional PFAS …

Can, and should, artificial intelligence (AI) and its machine learning (ML) variant be applied
to study scholarly literature? With AI and ML rapidly disrupting industries, we investigate how …