A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology

Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization for conditions such as acute kidney injury (AKI) and chronic kidney disease (CKD). AI-driven models utilize diverse datasets—including electronic hea...

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Bibliographic Details
Main Authors: Yanni Wang, Wisit Cheungpasitporn, Hatem Ali, Jianbo Qing, Charat Thongprayoon, Wisit Kaewput, Karim M. Soliman, Zhengxing Huang, Min Yang, Zhongheng Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Renal Failure
Subjects:
Artificial intelligence
machine learning
kidney diseases
nephrology
personalized treatment
peer review
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2025.2513002
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https://www.tandfonline.com/doi/10.1080/0886022X.2025.2513002

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