Tools to support the automation of systematic reviews: a scoping review

H Khalil, D Ameen, A Zarnegar - Journal of Clinical Epidemiology, 2022 - Elsevier
Objective The objectives of this scoping review are to identify the reliability and validity of the
available tools, their limitations and any recommendations to further improve the use of …

An evaluation of DistillerSR's machine learning-based prioritization tool for title/abstract screening–impact on reviewer-relevant outcomes

C Hamel, SE Kelly, K Thavorn, DB Rice… - BMC medical research …, 2020 - Springer
Background Systematic reviews often require substantial resources, partially due to the
large number of records identified during searching. Although artificial intelligence may not …

Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses

C Hamel, M Hersi, SE Kelly, AC Tricco, S Straus… - BMC Medical Research …, 2021 - Springer
Background Systematic reviews are the cornerstone of evidence-based medicine. However,
systematic reviews are time consuming and there is growing demand to produce evidence …

[HTML][HTML] Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT …

K Matsui, T Utsumi, Y Aoki, T Maruki… - Journal of Medical …, 2024 - jmir.org
Background The screening process for systematic reviews is resource-intensive. Although
previous machine learning solutions have reported reductions in workload, they risked …

Natural language processing: from bedside to everywhere

E Aramaki, S Wakamiya, S Yada… - Yearbook of medical …, 2022 - thieme-connect.com
Objectives: Owing to the rapid progress of natural language processing (NLP), the role of
NLP in the medical field has radically gained considerable attention from both NLP and …

[HTML][HTML] Reducing literature screening workload with machine learning

T Burgard, A Bittermann - Zeitschrift für Psychologie, 2023 - econtent.hogrefe.com
In our era of accelerated accumulation of knowledge, the manual screening of literature for
eligibility is increasingly becoming too labor-intensive for summarizing the current state of …

[HTML][HTML] The use of artificial intelligence for automating or semi-automating biomedical literature analyses: a scoping review

ÁO Dos Santos, ES da Silva, LM Couto… - Journal of Biomedical …, 2023 - Elsevier
Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

An exploration of available methods and tools to improve the efficiency of systematic review production: a scoping review

L Affengruber, MM van der Maten, I Spiero… - BMC Medical Research …, 2024 - Springer
Abstract Background Systematic reviews (SRs) are time-consuming and labor-intensive to
perform. With the growing number of scientific publications, the SR development process …

What are the best methods for rapid reviews of the research evidence? A systematic review of reviews and primary studies

MM Haby, JOM Barreto, JYH Kim… - Research Synthesis …, 2024 - Wiley Online Library
Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the
needs of the decision‐maker, while also maintaining quality and credibility. This systematic …

Rapid reviews methods series: guidance on team considerations, study selection, data extraction and risk of bias assessment

B Nussbaumer-Streit, I Sommer, C Hamel… - BMJ Evidence-Based …, 2023 - ebm.bmj.com
This paper is part of a series of methodological guidance from the Cochrane Rapid Reviews
Methods Group (RRMG). Rapid reviews (RRs) use modified systematic review (SR) …