Treffer: Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment.

Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment.

Yuan S; Department of Nephrology, The First Hospital of Putian City, Putian, 351100, Fujian Province, China. ysp738016@163.com., Guo L; Department of Nephrology, The First Hospital of Putian City, Putian, 351100, Fujian Province, China., Xu F; Department of Endocrinology, The First Hospital of Putian City, Putian, 351100, Fujian Province, China.

International urology and nephrology [Int Urol Nephrol] 2025 Nov 08. Date of Electronic Publication: 2025 Nov 08.

Ahead of Print

Journal Article; Review

English

Publisher: Springer Country of Publication: Netherlands NLM ID: 0262521 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2584 (Electronic) Linking ISSN: 03011623 NLM ISO Abbreviation: Int Urol Nephrol Subsets: MEDLINE

Publication: Amsterdam : Springer
Original Publication: Budapest, Akademiai Kiadó

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Keywords: Artificial intelligence; Chronic kidney disease; Deep learning; Machine learning; Precision medicine; Risk prediction

Date Created: 20251108 Latest Revision: 20251108

20251108

10.1007/s11255-025-04878-4

41205136

MEDLINE