Machine learning: a new frontier in research and therapy of kidney diseases

doi:10.3877/cma.j.issn.2095-3216.2025.04.001

Abstract

Abstract:

Machine learning, as a crucial branch of artificial intelligence, has demonstrated tremendous potential in the research and clinical work of kidney diseases. Machine learning can be utilized to analyze clinical, pathological, medical imaging, and multi-omics data related to kidney diseases, facilitating early diagnosis, efficacy prediction, exploration of pathogenesis, and other related research. Machine learning can be used to construct corresponding models based on different types of kidney disease databases, thereby playing a significant role in risk factor analysis, disease diagnosis, and drug efficacy prediction of kidney diseases. This article provided a comprehensive review of the role of machine learning in nephrology, offering a fresh perspective for the research, diagnosis, and treatment of kidney diseases.

Key words: Artificial intelligence, Machine learning, Nephrology

Yuanyuan Li, Rongshan Li. Machine learning: a new frontier in research and therapy of kidney diseases[J]. Chinese Journal of Kidney Disease Investigation(Electronic Edition), 2025, 14(04): 181-187.

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References 44

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