This research demonstrates how large language models can transform complex biomedical abstracts into accessible plain language for the general public.

• Addresses the health literacy gap in the United States by simplifying medical information
• Leverages LLMs to create more understandable versions of PubMed abstracts
• Provides a framework for knowledge translation from technical to plain language
• Demonstrates how AI can help bridge the divide between medical experts and patients

This innovation matters because improved health literacy leads to better health outcomes, increased patient engagement, and more informed decision-making about personal healthcare.

Adapting Biomedical Abstracts into Plain language using Large Language Models