Article

Bridging the Gap in Health Literacy: Harnessing the Power of Large Language Models to Generate Plain Language Summaries from Biomedical Texts

2024-07-03

Abstract excerpt

Health literacy is essential for individuals to navigate the healthcare system and make informed decisions about their health. Low health literacy levels have been associated with negative health outcomes, particularly among older populations and those financially restricted or with lower educational attainment. Plain language summaries (PLS) are an effective tool to bridge the gap in health literacy by simplifyin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 98084b5d-0a00-5b0c-9cbb-584ef5b3054d
DOI: 10.1101/2024.07.02.24309847

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Bridging the Gap in Health Literacy: Harnessing the Power of Large Language Models to Generate Plain Language Summaries from Biomedical TextsDOI 10.1101/2024.07.02.24309847Read

Evaluating Language Models for Simplifying Health Literacy MaterialsSemantic proximity Read

Testing and Evaluation of Generative Large Language Models in Electronic Health Record Applications: A Systematic ReviewSemantic proximity Read

Evaluation of Large Language Model Performance on the Biomedical Language Understanding and Reasoning Benchmark: Comparative StudySemantic proximity Read

Systematic Review of Large Language Models for Patient Care: Current Applications and ChallengesSemantic proximity Read

Transforming Radiology Communication: The Impact of GPT-4 on Crafting Patient-Friendly Summaries - A Short ReviewSemantic proximity Read

Systematic Literature Review of LLM-Large Language Model in Medical: Digital Health, Technology and ApplicationsSemantic proximity Read

How well it works: Benchmarking performance of GPT models on medical natural language processing tasksSemantic proximity Read

The use of a large language models to create plain language summaries of evidence reviews in healthcare: a feasibility studySemantic proximity Read

Examining the Accuracy and Reproducibility of Responses to Nutrition Questions Related to Inflammatory Bowel Disease by Generative Pre-trained Transformer-4 (GPT-4)Semantic proximity Read

On the limitations of large language models in clinical diagnosisSemantic proximity Read

irAE-GPT: Leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasetsSemantic proximity Read

A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health recordsSemantic proximity Read