Responsible Use of Artificial Intelligence to Improve Kidney Care

Artificial intelligence (AI) is rapidly transforming the delivery of kidney care through predictive analytics, machine learning, deep learning, and generative AI technologies. To meet this challenge, the American Society of Nephrology convened an AI Workgroup to provide a framework for the responsible use of AI in nephrology. The group outlines foundational principles to guide AI development: prioritizing patient benefit, ensuring clinician oversight, and advancing innovation in high-burden disease areas. Its set of foundational assumptions are grounded in the physician always being in the loop and an overarching goal to benefit patients with kidney diseases. This review provides an overview of the clinical uses of AI in nephrology and offers practical guidance for nephrologists seeking to incorporate AI into CKD and AKI management, dialysis, and transplantation care. It also highlights key challenges-such as data quality, equity, transparency, and clinical integration-that must be addressed to ensure the responsible and effective implementation of AI in kidney care.

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Publication Details

Journal
Journal of the American Society of Nephrology
Published
2025-11-07
DOI
https://doi.org/10.1681/asn.0000000929
Citations
9
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
5.89
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article

Responsible Use of Artificial Intelligence to Improve Kidney Care

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9 citations
Journal of the American Society of Nephrology
Artificial Intelligence in Healthcare and Education
5.89
article

Responsible Use of Artificial Intelligence to Improve Kidney Care

Wisit Cheungpasitporn, Karandeep Singh, Alessia Fornoni, Stanley Crittenden, Len A. Usvyat, Amy D. Waterman, Navdeep Tangri, Carmen A. Peralta
article en
9 citations

Abstract

Artificial intelligence (AI) is rapidly transforming the delivery of kidney care through predictive analytics, machine learning, deep learning, and generative AI technologies. To meet this challenge, the American Society of Nephrology convened an AI Workgroup to provide a framework for the responsible use of AI in nephrology. The group outlines foundational principles to guide AI development: prioritizing patient benefit, ensuring clinician oversight, and advancing innovation in high-burden disease areas. Its set of foundational assumptions are grounded in the physician always being in the loop and an overarching goal to benefit patients with kidney diseases. This review provides an overview of the clinical uses of AI in nephrology and offers practical guidance for nephrologists seeking to incorporate AI into CKD and AKI management, dialysis, and transplantation care. It also highlights key challenges-such as data quality, equity, transparency, and clinical integration-that must be addressed to ensure the responsible and effective implementation of AI in kidney care.

Journal of the American Society of Nephrology
Mayo Clinic (US), University of Miami (US), University of San Diego (US), American Society of Nephrology (US), UC San Diego Health System (US), University of California San Diego (US), Redondo Optics (United States) (US), Methodist Hospital (US), Renal Research Institute (US), San Mateo County Health System (US), University of Manitoba (CA)
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare and Education
5.89
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