RT Journal Article
T1 Artificial intelligence in COVID-19 evidence syntheses was underutilized, but impactful: a methodological study.
A1 Tercero-Hidalgo, Juan R
A1 Khan, Khalid S
A1 Bueno-Cavanillas, Aurora
A1 Fernandez-Lopez, Rodrigo
A1 Huete, Juan F
A1 Amezcua-Prieto, Carmen
A1 Zamora, Javier
A1 Fernandez-Luna, Juan M
K1 Artificial intelligence
K1 Automation
K1 Bibliometrics
K1 COVID-19
K1 Research design
K1 Systematic review
AB A rapidly developing scenario like a pandemic requires the prompt production of high-quality systematic reviews, which can be automated using artificial intelligence (AI) techniques. We evaluated the application of AI tools in COVID-19 evidence syntheses. After prospective registration of the review protocol, we automated the download of all open-access COVID-19 systematic reviews in the COVID-19 Living Overview of Evidence database, indexed them for AI-related keywords, and located those that used AI tools. We compared their journals' JCR Impact Factor, citations per month, screening workloads, completion times (from pre-registration to preprint or submission to a journal) and AMSTAR-2 methodology assessments (maximum score 13 points) with a set of publication date matched control reviews without AI. Of the 3,999 COVID-19 reviews, 28 (0.7%, 95% CI 0.47-1.03%) made use of AI. On average, compared to controls (n = 64), AI reviews were published in journals with higher Impact Factors (median 8.9 vs. 3.5, P  AI was an underutilized tool in COVID-19 systematic reviews. Its usage, compared to reviews without AI, was associated with more efficient screening of literature and higher publication impact. There is scope for the application of AI in automating systematic reviews.
PB Elsevier Inc.
YR 2022
FD 2022-04-28
LK http://hdl.handle.net/10668/22294
UL http://hdl.handle.net/10668/22294
LA en
NO Tercero-Hidalgo JR, Khan KS, Bueno-Cavanillas A, Fernández-López R, Huete JF, Amezcua-Prieto C, et al. Artificial intelligence in COVID-19 evidence syntheses was underutilized, but impactful: a methodological study. J Clin Epidemiol. 2022 Aug;148:124-134.
DS RISalud
RD Mar 13, 2025