Evolution of patient education materials from large-language artificial intelligence models on complex regional pain syndrome: are patients learning?

Our findings suggest that ChatGPT is a promising tool for patient education regarding complex regional pain syndrome based on its ability to generate a variety of question topics with responses from credible sources. That said, challenges such as readability and ethical considerations must be addressed prior to its widespread use for health information.

Authors

Institutions

Publication Details

Journal
Baylor University Medical Center Proceedings
Published
2025-02-28
DOI
https://doi.org/10.1080/08998280.2025.2470033
Citations
2
Primary Topic
Pain Management and Treatment
Type
article
Field-Weighted Citation Impact
4.38
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evolution of patient education materials from large-language artificial intelligence models on complex regional pain syndrome: are patients learning?

Brett Croen, Mohammed Abdullah, Anuj Gupta, William J. Hlavinka et al.
2 citations
Baylor University Medical Center Proceedings
Pain Management and Treatment
4.38
article

Evolution of patient education materials from large-language artificial intelligence models on complex regional pain syndrome: are patients learning?

Brett Croen, Mohammed Abdullah, Anuj Gupta, William J. Hlavinka, Tarun Sontam, Rita Hamilton, Adil Basha, Cherry Abdou
article en
2 citations

Abstract

Our findings suggest that ChatGPT is a promising tool for patient education regarding complex regional pain syndrome based on its ability to generate a variety of question topics with responses from credible sources. That said, challenges such as readability and ethical considerations must be addressed prior to its widespread use for health information.

Baylor University Medical Center ProceedingsVol. 38(3)
Baylor University Medical Center (US), Baylor Medical Center at Garland (US), Texas A&M University School of Law (US), University of Pennsylvania Health System (US)
Quality Education
Openalex Percentile: Top 8%
Pain Management and Treatment
4.38
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.

Evolution of patient education materials from large-language artificial intelligence models on complex regional pain syndrome: are patients learning? — Brett Croen, Mohammed Abdullah, et al. · Baylor University Medical Center Proceedings (2025) | TGRS Research Map | TGRS