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Adoption of artificial intelligence guidelines in anesthesia journals: A cross-sectional analysis

Year: 2025

Type: article

Abstract: Introduction/Objectives: Artificial intelligence (AI) is revolutionizing research in Anesthesia and Pain Medicine by improving data analysis, systematic reviews, and clinical applications. However, its adoption brings up concerns about transparency, ethical considerations, and reproducibility. This study examines how top Anesthesia and Pain Medicine journals tackle these issues and opportunities through their author guidelines and policies.

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

Authors: Penland, Malachi, Hashemi, Lydia, Harris, Tag, Marchbanks, Jeanie, Hagood, Alex, Tran, Andrew V., Crotty, Patrick, 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: W7110481733

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