Ontology highlight
ABSTRACT: Background
The increasing volume and complexity of biomedical literature pose challenges for making scientific knowledge accessible to lay audiences. Lay summaries, now widely encouraged or required by journals, aim to bridge this gap by promoting health literacy, patient engagement, and public trust. However, many are written by scientists without formal training in plain-language communication, often resulting in limited clarity, readability, and consistency. Generative large language models such as ChatGPT-4 offer a scalable opportunity to support lay summary creation, though their effectiveness within specific clinical domains has not been systematically evaluated at scale.Objective
This study aimed to assess ChatGPT-4's performance in generating lay summaries for prost
SUBMITTER: Rinderknecht E
PROVIDER: S-EPMC12629520 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature