Journal article
Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review
Abstract
To evaluate the performance accuracy and workload savings of artificial intelligence (AI)-based automation tools in comparison with human reviewers in medical literature screening for systematic reviews (SR) of primary studies in cancer research in order to gain insights on improving the efficiency of producing SRs. Medline, Embase, the Cochrane Library, and PROSPERO databases were searched from inception to November 30, 2022. Then, forward and …
Authors
Yao X; Kumar MV; Su E; Flores Miranda A; Saha A; Sussman J
Journal
Cancer Epidemiology, Vol. 88, ,
Publisher
Elsevier
Publication Date
February 2024
DOI
10.1016/j.canep.2023.102511
ISSN
1877-7821