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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41205136 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yuan+S%22">Yuan S</searchLink>; Department of Nephrology, The First Hospital of Putian City, Putian, 351100, Fujian Province, China. ysp738016@163.com.<br /><searchLink fieldCode="AU" term="%22Guo+L%22">Guo L</searchLink>; Department of Nephrology, The First Hospital of Putian City, Putian, 351100, Fujian Province, China.<br /><searchLink fieldCode="AU" term="%22Xu+F%22">Xu F</searchLink>; Department of Endocrinology, The First Hospital of Putian City, Putian, 351100, Fujian Province, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220262521%22">International urology and nephrology</searchLink> [Int Urol Nephrol] 2026 Jul; Vol. 58 (7), pp. 2615-2645. <i>Date of Electronic Publication: </i>2025 Nov 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>0262521 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2584 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203011623%22">03011623 </searchLink><i>NLM ISO Abbreviation: </i>Int Urol Nephrol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41205136 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11255-025-04878-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2615 Titles: – TitleFull: Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yuan S – PersonEntity: Name: NameFull: Guo L – PersonEntity: Name: NameFull: Xu F IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1573-2584 Numbering: – Type: volume Value: 58 – Type: issue Value: 7 Titles: – TitleFull: International urology and nephrology Type: main |
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