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Endorsement of artificial intelligence guidelines across leading obstetrics and gynecology journals: A preliminary cross-sectional analysis

Year: 2025

Type: article

Abstract: Background: Artificial intelligence (AI) is transforming research in Obstetrics and Gynecology by advancing data analysis, facilitating systematic reviews, and enhancing clinical applications. However, its adoption raises concerns related to transparency, ethical considerations, and reproducibility. This study investigates how leading Obstetrics and Gynecology journals address these concerns and opportunities through their author instructions and editorial policies.

Source: SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)

Authors: McCormick, Caitlin, Profice, Tanner, Rowsey, Kaylyn, Brassfield, Jillian, Shumard, Alexandra, Crotty, Patrick, Tran, Andrew V., Young, Alec, Ford, Alicia Ito, Vassar, Matt

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7110479801

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