AI supported systematic reviews
Topic leader: Bruno M. Coimbra
Please contact Bruno M. Coimbra, University of Utrecht, The Netherlands, if you would like to initiate new review projects.
The GCTS is eager to make research available to all around the world and thus supports freely available methods for doing systematic reviews as ASReview .
Planning embarking on a systematic review? If so, you're likely familiar with the common challenge faced by old-school reviewers: the lack of time to review everything thoroughly. ASReview is here to assist you in identifying eligible papers for your systematic review and streamlining the process.
What is ASReview
ASReview is a AI-aided open source software with a simple goal: assist researchers to find eligible papers for systematic reviews using state-of-the-art active learning techniques.
Have you searched for records for your systematic review and ended up with a file potentially containing thousands of them? With ASReview, you simply provide a few relevant and irrelevant records to our Electronic Searching Assistant (ELAS). By doing so, you're training ELAS's machine learning algorithm to rank the records in your file that you haven't reviewed yet from most relevant to least relevant based on their content
How?
Check out the video.
For help and questions reach out to asreview@uu.nl or go to our Github page on https://github.com/asreview
For more information and to download the ASReview, please visit https://asreview.nl/
ASReview is an open-source project coordinated by Rens van de Schoot (full Professor at the Department of Methodology & Statistics and ambassador of the focus area Applied Data Science at Utrecht University, The Netherlands), together with Jonathan de Bruin (Lead engineer of the ASReview project and working at the Information and Technology Services department at Utrecht University).
ASReview workshop in Cape Town
At the 1st Global Collaboration on Traumatic Stress Conference preconference workshop , “Using AI to quickly get a systematic overview of the literature” was held on the afternoon of 12 December at Stellenbosch University Faculty of Medicine and Health Sciences. The workshop was presented by three members of the ASReview team, Rens van de Schoot, Duco Veen and Jelle Teijema of Utrecht University. The workshop provided an overview of ASReview, which uses state-of-the-art active machine learning techniques to solve the challenge of screening large amounts of text, and guided participants through hands-on exercises covering set up, labelling of articles for inclusion and exclusion, and interpretation of the review results. The workshop proved extremely popular with the original limit of 40 participants waived to accommodate the enthusiastic interest. The approximately 55 participants included local and international GCTS participants, as well as researchers and students from Stellenbosch University, the South African Medical Research Council, and other local institutions.
Literature
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ASReview LAB developers . 2022. ASReview LAB - a tool for AI-assisted systematic reviews (v1.1) Zenodo. - DOI
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Rens van de Schoot, Marit Sijbrandij, Sonja D. Winter, Sarah Depaoli & Jeroen K. Vermunt (2017) The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies, Structural Equation Modeling: A Multidisciplinary Journal, 24:3, 451-467, DOI: 10.1080/10705511.2016.1247646
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Rens van de Schoot, Marit Sijbrandij, Sarah Depaoli, Sonja D. Winter, Miranda Olff & Nancy E. van Loey (2018) Bayesian PTSD-Trajectory Analysis with Informed Priors Based on a Systematic Literature Search and Expert Elicitation, Multivariate Behavioral Research, 53:2, 267-291, DOI: 10.1080/00273171.2017.1412293
