A Comparative Assessment of Large Language Models in Pediatric Dialysis: Reliability, Quality and Readability

This study found that LLMs responses to dialysis FAQs were reliable and high quality, but difficult to read; improving readability through expert-reviewed content could increase their impact on public health.

Authors

Institutions

Publication Details

Journal
Therapeutic Apheresis and Dialysis
Published
2025-06-24
DOI
https://doi.org/10.1111/1744-9987.70058
Citations
1
Primary Topic
Health Literacy and Information Accessibility
Type
article
Field-Weighted Citation Impact
2.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparative Assessment of Large Language Models in Pediatric Dialysis: Reliability, Quality and Readability

Esra Nagehan Akyol Önder, Pelin Ertan, Esra Ensari
1 citations
Therapeutic Apheresis and Dialysis
Health Literacy and Information Accessibility
2.82
article

A Comparative Assessment of Large Language Models in Pediatric Dialysis: Reliability, Quality and Readability

Esra Nagehan Akyol Önder, Pelin Ertan, Esra Ensari
article en
1 citations

Abstract

This study found that LLMs responses to dialysis FAQs were reliable and high quality, but difficult to read; improving readability through expert-reviewed content could increase their impact on public health.

Therapeutic Apheresis and DialysisVol. 29(5)
Aksaray University (TR), Ministry of Health (TR), Manisa Celal Bayar University (TR), Antalya Eğitim ve Araştırma Hastanesi (TR), Antalya IVF (TR)
Quality Education
Openalex Percentile: Top 10%
Health Literacy and Information Accessibility
2.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.