Quality assessment of large language models’ output in maternal health

Quality assessment of large language models’ output in maternal health

Abstract Optimising healthcare is linked to broadening access to health literacy in Low- and Middle-Income Countries. The safe and responsible deployment of Large Language Models (LLMs) may provide accurate, reliable, and culturally relevant healthcare information. We aimed to assess the quality of...

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Bibliographic Details
Main Authors: Henrique A. Lima, Pedro H. F. S. Trocoli-Couto, Zorays Moazzam, Leonardo C. D. Rocha, Adriana Pagano, Felipe F. Martins, Lucas T. Brabo, Zilma S. N. Reis, Lisa Keder, Aliya Begum, Marcelo H. Mamede, Timothy M. Pawlik, Vivian Resende
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Maternal health education
Large language models
Evaluation
Low- and Middle-Income countries
Online Access:https://doi.org/10.1038/s41598-025-03501-x
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