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 …
LM Carlson, M Angrish, AV Shirke… - Environmental …, 2022 - ehp.niehs.nih.gov
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 …
O Baclic, M Tunis, K Young, C Doan… - Canada …, 2020 - ncbi.nlm.nih.gov
Natural language processing (NLP) is a subfield of artificial intelligence devoted to understanding and generation of language. The recent advances in NLP technologies are …
NM DeLuca, M Angrish, A Wilkins, K Thayer… - Environment …, 2021 - Elsevier
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 …