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Evaluation on artificial intelligence guidelines in the leading clinical pulmonology and respiratory medicine journals: A cross-sectional analysis

Year: 2025

Type: article

Abstract: Background: Artificial intelligence (AI) is advancing research in pulmonology and respiratory medicine, offering improvements in data analysis, systematic reviews, and clinical applications. Despite these benefits, its adoption also raises critical concerns around ethical use, transparency, and reproducibility. This study investigates how leading journals in the field of pulmonology and respiratory medicine respond to these challenges and opportunities through their author instructions and policies.

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

Authors: Camasso, Nicholas, Lutze, Ty, Archer, Daniel, Corwin, Logan, 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

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7110471319

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