# Agreement Between AI and Nephrologists in Addressing Common Patient Questions About Diabetic Nephropathy: Cross-Sectional Study

**Authors:** Niloufar Ebrahimi, Mehrbod Vakhshoori, Seigmund Teichman, Amir Abdipour

PMC · DOI: 10.2196/65846 · JMIR Diabetes · 2025-05-02

## TL;DR

This study compares how well AI and kidney specialists answer common questions about diabetic kidney disease.

## Contribution

The study evaluates agreement between AI models and nephrologists in answering patient questions about diabetic nephropathy.

## Key findings

- AI models showed varying levels of agreement with nephrologists in answering patient questions.
- The study highlights the potential of AI in supporting patient education about diabetic nephropathy.

## Abstract

This research letter presents a cross-sectional analysis comparing the agreement between artificial intelligence models and nephrologists in responding to common patient questions about diabetic nephropathy.

## Linked entities

- **Diseases:** diabetic nephropathy (MONDO:0005016)

## Full-text entities

- **Diseases:** Diabetic Nephropathy (MESH:D003928)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

8 references — full list in the complete paper: https://tomesphere.com/paper/PMC12064210/full.md

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Source: https://tomesphere.com/paper/PMC12064210