Chinese Journal of Blood Purification

Chinese Journal of Blood Purification ›› 2026, Vol. 25 ›› Issue (05): 415-419.doi: 0.3969/j.issn.1671-4091.2026.05.011

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Research progress in artificial intelligence in acute kidney injury prediction models

CHEN Peng-wei, LI Yue-hong   

  1. Department of Nephrology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing 102218, China
  • Received:2025-09-22 Revised:2025-11-21 Online:2026-05-12 Published:2026-05-12
  • Contact: 102218 北京，1清华大学北京清华长庚医院肾内科 E-mail:lyha01051@btch.edu.cn

Abstract: Acute kidney injury (AKI) is a common and severe syndrome with poor prognosis. Artificial intelligence (AI) is a promising tool for early AKI prediction. This review summarizes recent advances in AI-based AKI prediction models including different modeling approaches, key predictors, validation strategies and clinical challenges, aiming to provide references for AKI risk prediction and translational medicine.

Key words: Acute kidney injury, Artificial intelligence, Risk prediction model

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