Using AI to boost scoping reviews : exploring AI deployment in obstetrics and gynaecology as an exemplar
Venter, Isabella M. and Blignaut, Rénette J. and Renaud, Karen V.; (2025) Using AI to boost scoping reviews : exploring AI deployment in obstetrics and gynaecology as an exemplar. In: Artificial Intelligence Research. Communications in Computer and Information Science . Springer, ZAF. ISBN 978-3-032-11733-5
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Abstract
This paper explores how artificial intelligence can be harnessed to boost and supercharge scoping reviews. To demonstrate its power (comprehen-siveness), its efficiency (time effectiveness) and affordability (cost effec-tiveness), we explore the use of AI in obstetrics and gynaecology as a vehi-cle to test our new hybrid review process. We carried out: (1) a traditional scoping review, and (2) a traditional scoping review boosted by artificial intelligence tools. We provide an overview of the extensive and varied lit-erature related to our topic of interest: the use of AI in obstetrics and gynae-cology. We compare and contrast the outcomes of the different options. We conclude that the use of AI tools can enrich and extend the scope of scoping reviews (using a so-called “Hybrid Review”), but only if the prompts are carefully and thoughtfully crafted.
ORCID iDs
Venter, Isabella M., Blignaut, Rénette J. and Renaud, Karen V.
ORCID: https://orcid.org/0000-0002-7187-6531;
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Item type: Book Section ID code: 94470 Dates: DateEvent29 November 2025Published27 September 2025AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science
Medicine > Gynecology and obstetricsDepartment: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 16 Oct 2025 14:58 Last modified: 22 Jan 2026 10:43 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/94470
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