Artificial Intelligence in Nephrology: Clinical Applications and Challenges

Overview

Journal Kidney Med

Date 2025 Jan 13

PMID 39803417

Authors

Prabhat Singh

Lokesh Goyal

Deobrat C Mallick

Salim R Surani

Nayanjyoti Kaushik

Deepak Chandramohan

Prathap K Simhadri

Affiliations

Soon will be listed here.

Abstract

Artificial intelligence (AI) is increasingly used in many medical specialties. However, nephrology has lagged in adopting and incorporating machine learning techniques. Nephrology is well positioned to capitalize on the benefits of AI. The abundance of structured clinical data, combined with the mathematical nature of this specialty, makes it an attractive option for AI applications. AI can also play a significant role in addressing health inequities, especially in organ transplantation. It has also been used to detect rare diseases such as Fabry disease early. This review article aims to increase awareness on the basic concepts in machine learning and discuss AI applications in nephrology. It also addresses the challenges in integrating AI into clinical practice and the need for creating an AI-competent nephrology workforce. Even though AI will not replace nephrologists, those who are able to incorporate AI into their practice effectively will undoubtedly provide better care to their patients. The integration of AI technology is no longer just an option but a necessity for staying ahead in the field of nephrology. Finally, AI can contribute as a force multiplier in transitioning to a value-based care model.

Citing Articles

Artificial intelligence and pediatric acute kidney injury: a mini-review and white paper.

Hu J, Raina R Front Nephrol. 2025; 5:1548776.

PMID: 40041609 PMC: 11876175. DOI: 10.3389/fneph.2025.1548776.

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