# A Brief Review of Artificial Intelligence in Living Kidney Donation

**Authors:** Jasir Nawar, Jennifer D. Motter, Jane J. Long, Ritika Sarpal, Dorry L. Segev, Michal A. Mankowski, Macey L. Levan

PMC · DOI: 10.3389/ti.2025.15334 · Transplant International · 2026-01-07

## TL;DR

This paper reviews how artificial intelligence is being used in living kidney donation and highlights its potential and challenges.

## Contribution

The paper consolidates existing research on AI in living kidney donation and identifies emerging trends and challenges.

## Key findings

- AI is being applied to living kidney donation for predictive and social purposes.
- Current research trends and challenges in implementing AI in clinical settings are discussed.
- The review provides a foundation for integrating AI into living donor programs.

## Abstract

Artificial intelligence (AI) is rapidly transforming healthcare, and the field of kidney transplantation (KT) is no exception. While much of the AI-related work has focused on deceased donor KT, there is a growing body of research applying AI tools to living kidney donation (LKD). This review explores AI’s current and potential roles in LKD, focusing on predictive and social applications of AI in LKD. Additionally, we discuss the challenges and limitations of implementing AI in clinical settings and highlight emerging research trends. This review consolidates existing research and provides a foundation for both transplant professionals and data scientists seeking to integrate AI responsibly into living donor programs.

## Full text

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## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC12819335/full.md

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Source: https://tomesphere.com/paper/PMC12819335