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Evaluating artificial intelligence guidelines in the leading family medicine journals: A cross-sectional study

Year: 2025

Type: article

Abstract: Background: Artificial intelligence (AI) is reshaping family medicine research by improving data analysis, systematic reviews, and clinical applications. However, its use also raises concerns about transparency, ethical practices, and reproducibility. This study explores how leading family medicine journals address these challenges and opportunities through their author instructions and policies.

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

Authors: O’Brien, Cameron, Smith, Tim, Thayani, Zohaib, 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

Open Access status: green

OpenAlex ID: W7110583273

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