{"title":"Artificial intelligence approaches to enable early detection of CKD","authors":"Navdeep Tangri, Charumathi Sabanayagam","doi":"10.1038/s41581-025-00933-6","DOIUrl":null,"url":null,"abstract":"The late diagnosis of chronic kidney disease (CKD) is a global problem that limits the opportunity to initiate disease-modifying therapies. Artificial intelligence approaches using imaging or laboratory-based models can facilitate the early detection and risk stratification of CKD and thereby enable optimal treatment to reduce the burden of the disease.","PeriodicalId":19059,"journal":{"name":"Nature Reviews Nephrology","volume":"27 1","pages":""},"PeriodicalIF":28.6000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Nephrology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41581-025-00933-6","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The late diagnosis of chronic kidney disease (CKD) is a global problem that limits the opportunity to initiate disease-modifying therapies. Artificial intelligence approaches using imaging or laboratory-based models can facilitate the early detection and risk stratification of CKD and thereby enable optimal treatment to reduce the burden of the disease.
期刊介绍：
Nature Reviews Nephrology aims to be the premier source of reviews and commentaries for the scientific communities it serves.
It strives to publish authoritative, accessible articles.
Articles are enhanced with clearly understandable figures, tables, and other display items.
Nature Reviews Nephrology publishes Research Highlights, News & Views, Comments, Reviews, Perspectives, and Consensus Statements.
The content is relevant to nephrologists and basic science researchers.
The broad scope of the journal ensures that the work reaches the widest possible audience.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
