Leveraging large language models to bridge the digital divide in cardiovascular health research
Year: 2025
Type: article
Abstract: Advances in digital health exclude Hispanic/Latinx populations with limited English language proficiency, despite their high cardiovascular risk and smartphone usage. Large language models (LLMs) offer promising English-to-Spanish translational solutions, with comparable accuracy to professional medical translators. In this work, we present data and propose a hybrid workflow that combines automated LLM translation with professional review to reduce costs and improve Hispanic/Latinx inclusion in cardiovascular digital health research.
Source: npj Cardiovascular Health
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,590
Funders: National Science Foundation, American Diabetes Association, American Heart Association, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases
Awards: G1740546729, Towards a Clinically Valid Digital 6-Minute Walk Test in Pulmonary Arterial Hypertension, Implementation of a Trained Spanish-Fluent Language Model to Improve Physical Activity in the Hispanic/Latinx Population, G3966814170, G4138998509, G4536895055, G5164795492, G5883405805, G6448364788, G753180278, G9000023269
OpenAlex ID: W4416895639