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

Year: 2025

Type: article

Abstract: Background: Artificial intelligence (AI) is revolutionizing neurology research by advancing data analysis, systematic reviews, and clinical applications. However, its integration introduces concerns around transparency, ethical practices, and reproducibility. This study explores how leading neurology journals address these issues in their author guidelines and policies.

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

Authors: Kirby, Kohl, Calvert, Noah, Rowsey, Kaylyn, Brassfield, Jillian, Gardner, Taylor, 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: W7110549407

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