Artificial intelligence and the conduct of literature reviews
G Wagner, R Lukyanenko… - Journal of Information …, 2022 - journals.sagepub.com
Artificial intelligence (AI) is beginning to transform traditional research practices in many
areas. In this context, literature reviews stand out because they operate on large and rapidly …
areas. In this context, literature reviews stand out because they operate on large and rapidly …
Considering bias and conflicts of interest among the included studies
I Boutron, MJ Page, JPT Higgins… - … systematic reviews of …, 2019 - Wiley Online Library
Bias can arise because of the actions of primary study investigators or because of the
actions of review authors, or may be unavoidable due to constraints on how research can be …
actions of review authors, or may be unavoidable due to constraints on how research can be …
PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews
The methods and results of systematic reviews should be reported in sufficient detail to allow
users to assess the trustworthiness and applicability of the review findings. The Preferred …
users to assess the trustworthiness and applicability of the review findings. The Preferred …
An open source machine learning framework for efficient and transparent systematic reviews
R Van De Schoot, J De Bruin, R Schram… - Nature machine …, 2021 - nature.com
To help researchers conduct a systematic review or meta-analysis as efficiently and
transparently as possible, we designed a tool to accelerate the step of screening titles and …
transparently as possible, we designed a tool to accelerate the step of screening titles and …
Toward systematic review automation: a practical guide to using machine learning tools in research synthesis
IJ Marshall, BC Wallace - Systematic reviews, 2019 - Springer
Technologies and methods to speed up the production of systematic reviews by reducing
the manual labour involved have recently emerged. Automation has been proposed or used …
the manual labour involved have recently emerged. Automation has been proposed or used …
Collecting data
This chapter describes approaches that should be used in systematic reviews for collecting
data, including extraction of data directly from journal articles and other reports of studies …
data, including extraction of data directly from journal articles and other reports of studies …
A full systematic review was completed in 2 weeks using automation tools: a case study
J Clark, P Glasziou, C Del Mar… - Journal of clinical …, 2020 - Elsevier
Abstract Background and Objectives Systematic reviews (SRs) are time and resource
intensive, requiring approximately 1 year from protocol registration to submission for …
intensive, requiring approximately 1 year from protocol registration to submission for …
Guidelines for including grey literature and conducting multivocal literature reviews in software engineering
Abstract Context A Multivocal Literature Review (MLR) is a form of a Systematic Literature
Review (SLR) which includes the grey literature (eg, blog posts, videos and white papers) in …
Review (SLR) which includes the grey literature (eg, blog posts, videos and white papers) in …
Rationalizing neural predictions
Prediction without justification has limited applicability. As a remedy, we learn to extract
pieces of input text as justifications--rationales--that are tailored to be short and coherent, yet …
pieces of input text as justifications--rationales--that are tailored to be short and coherent, yet …
An introduction to systematic reviews
Chapter 1 discussed the ways that reviews examine previous research and other forms of
evidence to answer review questions and how their methods depend upon the questions …
evidence to answer review questions and how their methods depend upon the questions …