Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?

R Qureshi, D Shaughnessy, KAR Gill, KA Robinson… - Systematic …, 2023 - Springer
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 …

Automation of systematic literature reviews: A systematic literature review

R Van Dinter, B Tekinerdogan, C Catal - Information and Software …, 2021 - Elsevier
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 …

Ms2: Multi-document summarization of medical studies

J DeYoung, I Beltagy, M van Zuylen, B Kuehl… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews

KEK Chai, RLJ Lines, DF Gucciardi, L Ng - Systematic reviews, 2021 - Springer
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 …

Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review

QD Buchlak, N Esmaili, JC Leveque, C Bennett… - Journal of Clinical …, 2021 - Elsevier
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 …

How stimulating is a green stimulus? The economic attributes of green fiscal spending

B O'Callaghan, N Yau, C Hepburn - Annual review of …, 2022 - annualreviews.org
When deep recessions hit, some governments spend to rescue and recover their
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 …

The Commercial Determinants of Health and Evidence Synthesis (CODES): methodological guidance for systematic reviews and other evidence syntheses

M Petticrew, RE Glover, J Volmink, L Blanchard… - Systematic …, 2023 - Springer
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 …

Neural rankers for effective screening prioritisation in medical systematic review literature search

S Wang, H Scells, B Koopman, G Zuccon - Proceedings of the 26th …, 2022 - dl.acm.org
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 …

[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 …