Design and feasibility of lay clinical trial summaries using large language models.

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Feasibility pilot finds large language models enhance patient understanding in clinical trials, suggesting better communication strategies.

Utilizing large language models improved efficiency in creating lay summaries for clinical trial consent.
Patient advocate feedback guided the customization and clarity of trial information, enhancing literate accessibility.
The study employed a multimodal approach, incorporating visual aids alongside LLM-generated content for better engagement.
Human oversight ensured content validation and regulatory compliance throughout the summary creation process.

Adjei et al. (2025) studied this question.

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Feasibility pilot finds large language models enhance patient understanding in clinical trials, suggesting better communication strategies.