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 logoORCID: https://orcid.org/0000-0002-7187-6531;