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

Year: 2025

Type: article

Abstract: Background: Artificial intelligence (AI) is revolutionizing immunology research, advancing data analysis, systematic reviews, and clinical applications. Yet, its integration presents challenges related to transparency, ethical considerations, and reproducibility. This study investigates how top immunology journals respond to these issues and opportunities through their author guidelines and policies.

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

Authors: Rowe, Madeline, Denton, Nevada, Tran, Chris, Elghzali, Ahmed, Bratten, Chance, Crotty, Patrick, Tran, Andrew V., Young, Alec, Ford, Alicia Ito, Vassar, Matt

Language: English

Topic: Academic Publishing and Open Access

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7110541941

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