Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment.
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| Title: | Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment. |
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| Authors: | 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. |
| Source: | International urology and nephrology [Int Urol Nephrol] 2026 Jul; Vol. 58 (7), pp. 2615-2645. Date of Electronic Publication: 2025 Nov 08. |
| Publication Type: | Journal Article; Review |
| Journal Info: | 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 |
| Database: | MEDLINE Ultimate |
| ISSN: | 1573-2584 |
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| DOI: | 10.1007/s11255-025-04878-4 |
