Article

OpenPFx: Evaluating the Ability of LLMs to Create Patient-Friendly Explanations of Radiological Incidental Findings

2025-10-13

Abstract excerpt

The 21st Century Cures Act mandates patient access to electronic health information, yet radiology reports often remain inaccessible due to specialized terminology and widespread low health literacy. This study evaluates large language model (LLM)–based workflows for generating patient-friendly explanations (PFx) of incidental MRI findings. Four approaches—zero-shot, few-shot, multiple few-shot, and agentic—were b...

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Literature Corpus work: 5a5cc7f7-6c2f-53ae-8820-64dea2323b77
DOI: 10.1101/2025.10.10.25337597

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