Safety and efficacy of privacy-preserving models to create Lay summaries of brain MRI reports

Abstract Patient access to radiology reports has heightened the need for patient-friendly communication. Automated generation of patient-centered summaries using large language models (LLMs) is a promising solution. However, their use on real-life reports is limited by privacy concerns. Here, we eva...

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Principais autores:	Bastien Le Guellec, Raphael Bentegeac, Lucas Shorten, Yann Gaillandre, Quentin Vannod-Michel, Renaud Lopes, Grégory Kuchcinski, Aghiles Hamroun
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2026-01-01
Series:	Scientific Reports
Assuntos:	LLM Large language model Lay summary Understanding Patient-centered reports Artificial intelligence
Acceso en liña:	https://doi.org/10.1038/s41598-026-36081-5
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