{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T15:43:54Z","timestamp":1787240634346,"version":"build-2736575974"},"reference-count":52,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"1","license":[{"start":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T00:00:00Z","timestamp":1764892800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":["Kidney360"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:p>Artificial intelligence (AI) promises significant advancements in nephrology. While current use of AI in clinical nephrology practice is limited, there is scope for application in transplant allocation, remote dialysis monitoring, and CKD management. Yet, despite its potential, the use of AI in nephrology raises important ethical issues. Challenges include concerns about trustworthiness and reliability of AI systems, accountability for inaccurate results, injustice from the perpetuation or exacerbation of individual and systemic biases and inequities, and risks to patient privacy arising from the need for AI to access to sensitive health data. In addition, there are unresolved questions about the application of current disclosure and informed consent practices for patients when AI is used in their care and about the environmental and sustainability effect of this energy-hungry technology in an already resource intensive specialty. This article explores these ethical challenges and gives recommendations for addressing them, both at an individual clinician and health care system level.<\/jats:p>","DOI":"10.34067\/kid.0000001074","type":"journal-article","created":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T17:01:38Z","timestamp":1764954098000},"page":"192-198","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":5,"title":["Confronting the Ethical Issues with Artificial Intelligence Use in Nephrology"],"prefix":"10.34067","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6189-1917","authenticated-orcid":false,"given":"Alison","family":"Weightman","sequence":"first","affiliation":[{"name":"Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia"},{"name":"Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia"},{"name":"Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide, South Australia, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9190-6753","authenticated-orcid":false,"given":"Philip","family":"Clayton","sequence":"additional","affiliation":[{"name":"Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia"},{"name":"Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia"},{"name":"Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide, South Australia, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6021-9878","authenticated-orcid":false,"given":"Simon","family":"Coghlan","sequence":"additional","affiliation":[{"name":"Centre for Artificial Intelligence and Digital Ethics, School of Computing and Information Systems, The University of Melbourne, Melbourne, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2025,12,5]]},"reference":[{"issue":"8","key":"B1-20260129","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1093\/ndt\/gfaf027","article-title":"Nephrology meets AI\u2014environmental perspective","volume":"40","author":"Laranjinha","year":"2025","journal-title":"Nephrol Dial Transplant."},{"issue":"5","key":"B2-20260129","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1093\/jalm\/jfaf087","article-title":"Diagnostic accuracy of smartphone-enabled urinary albumin-to-creatinine ratio testing","volume":"10","author":"Jeddah","year":"2025","journal-title":"J Appl Lab Med."},{"issue":"12","key":"B3-20260129","doi-asserted-by":"crossref","first-page":"2495","DOI":"10.1681\/ASN.0000000644","article-title":"kidneyintelX.dkd: an innovation in precision medicine for diabetic kidney disease","volume":"36","author":"Coca","year":"2025","journal-title":"J Am Soc Nephrol."},{"issue":"5","key":"B4-20260129","first-page":"e60145","article-title":"Predicting the progression of chronic kidney disease: a systematic review of artificial intelligence and machine learning approaches","volume":"16","author":"Khalid","year":"2024","journal-title":"Cureus."},{"issue":"2","key":"B5-20260129","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1093\/ckj\/sfaa103","article-title":"Opportunities in the cloud or pie in the sky? 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