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Endorsement of artificial intelligence guidelines across leading ophthalmology journals: A cross-sectional analysis

Year: 2025

Type: article

Abstract: Background: Artificial intelligence (AI) is transforming ophthalmology by enhancing data analysis, facilitating systematic reviews, and improving clinical applications. However, its incorporation into research and publishing introduces challenges related to transparency, ethical considerations, and reproducibility. This study explores how top ophthalmology journals address these issues and leverage AI's potential through their author guidelines and editorial policies.

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

Authors: McBee, Grayson, Dinh, Madison, Elghzali, Ahmed, Tran, Chris, Bratten, Chance, Crotty, Patrick, Young, Alec, Tran, Andrew V., Ford, Alicia Ito, Vassar, Matt

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W7110634669

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