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This paper is in the following e-collection/theme issue:

eHealth Literacy / Digital Literacy (573) Epublishing and Open Access (108) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1977) Information Retrieval (363) Natural Language Processing (965) Information Seeking, Information Needs (584)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50862, first published .
Jargon and Readability in Plain Language Summaries of Health Research: Cross-Sectional Observational Study

Jargon and Readability in Plain Language Summaries of Health Research: Cross-Sectional Observational Study

Jargon and Readability in Plain Language Summaries of Health Research: Cross-Sectional Observational Study

Authors of this article:

Iain A Lang1 Author Orcid Image ;   Angela King1 Author Orcid Image ;   Kate Boddy1 Author Orcid Image ;   Ken Stein1 Author Orcid Image ;   Lauren Asare1 Author Orcid Image ;   Jo Day1 Author Orcid Image ;   Kristin Liabo1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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  3. Cang X, Ni M, Song C, Zhao J, Guo Y, Zou Y, Zhang Z, Jiang L. ChatGPT-5 versus other mainstream large language models in core diabetic retinopathy patient queries. Frontiers in Cell and Developmental Biology 2026;14 View