Back to search

Article

Evaluating Cross-Platform Large Language Models for Patient Education in Hypertension and Chronic Kidney Disease: Quality, Readability, and Actionability

2026-06-02

Abstract excerpt

<title>Abstract</title> <p> <bold>Objective:</bold> To compare the understandability, actionability, information quality, and readability of patient education texts on hypertension with chronic kidney disease generated by 12 cross-platform large language models, and to further examine their structural patterns using exploratory network analysis and latent profile analysis. <bold>Methods:</bold> Based on the l...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
51c219f9-5722-578a-82e7-61dc85849cb5
DOI
10.21203/rs.3.rs-9358054/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Evaluating Cross-Platform Large Language Models for Patient Education in Hypertension and Chronic Kidney Disease: Quality, Readability, and ActionabilityDOI 10.21203/rs.3.rs-9358054/v1
Select a neighboring publication to make it the new centre.