Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?
In this commentary, we discuss ChatGPT and our perspectives on its utility to systematic
reviews (SRs) through the appropriateness and applicability of its responses to SR related …
reviews (SRs) through the appropriateness and applicability of its responses to SR related …
Automation of systematic literature reviews: A systematic literature review
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 …
papers, extract the required data, analyze, and synthesize results to gain further and broader …
Ms2: Multi-document summarization of medical studies
To assess the effectiveness of any medical intervention, researchers must conduct a time-
intensive and highly manual literature review. NLP systems can help to automate or assist in …
intensive and highly manual literature review. NLP systems can help to automate or assist in …
Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews
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 …
help inform policy and practice, yet their rigorous nature is associated with significant time …
Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review
Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year
survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for …
survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for …
How stimulating is a green stimulus? The economic attributes of green fiscal spending
When deep recessions hit, some governments spend to rescue and recover their
economies. Key economic objectives of such countercyclical spending include protecting …
economies. Key economic objectives of such countercyclical spending include protecting …
Can large language models replace humans in systematic reviews? Evaluating GPT‐4's efficacy in screening and extracting data from peer‐reviewed and grey …
Q Khraisha, S Put, J Kappenberg… - Research Synthesis …, 2024 - Wiley Online Library
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 …
often slow and labour‐intensive. Large language models (LLMs) could speed up and …
The Commercial Determinants of Health and Evidence Synthesis (CODES): methodological guidance for systematic reviews and other evidence syntheses
Background The field of the commercial determinants of health (CDOH) refers to the
commercial products, pathways and practices that may affect health. The field is growing …
commercial products, pathways and practices that may affect health. The field is growing …
Neural rankers for effective screening prioritisation in medical systematic review literature search
Medical systematic reviews typically require assessing all the documents retrieved by a
search. The reason is two-fold: the task aims for “total recall”; and documents retrieved using …
search. The reason is two-fold: the task aims for “total recall”; and documents retrieved using …
[HTML][HTML] Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses
X Luo, F Chen, D Zhu, L Wang, Z Wang, H Liu… - Journal of Medical …, 2024 - jmir.org
Large language models (LLMs) such as ChatGPT have become widely applied in the field of
medical research. In the process of conducting systematic reviews, similar tools can be used …
medical research. In the process of conducting systematic reviews, similar tools can be used …