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Endorsement of artificial intelligence guidelines across leading rehabilitation journals: A series of cross-sectional reviews

Year: 2025

Type: article

Abstract: Background: The use of Artificial intelligence (AI) is reshaping Physical Medicine and Rehabilitation research by enabling advancements in data analysis, systematic reviews, and clinical applications. However, its adoption brings forth issues regarding ethical use, transparency, and reproducibility. This study investigates how top journals in Physical Medicine and Rehabilitation address these challenges and opportunities through their author instructions and policies.

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

Authors: Herring, Garrett, Mathew, Diya, Barks, Noah, Perez, Luis Frias, Jelinek, Trevon, 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

Open Access status: green

OpenAlex ID: W7110605693

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