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Fecha
2025-05-23
Derechos de acceso
info:eu-repo/semantics/openAccess
Título de la revista
ISSN de la revista
Título del volumen
Editorial
John Benjamins Publishing
Citas
Resumen
Medical terminology is perceived as an obstacle for patients and family members to understand the medical message. In this context, plain language advocates for making specialised knowledge accessible to citizens. This article puts the synergy between medical terminology, plain language, and computational linguistics (a branch of Artificial Intelligence) on the table. Our purpose is to determine if Generative AI applications, like ChatGPT, can assist in creating glossaries of terms with their corresponding simple variants. For this, a relevant sub-field of medicine, cardiology, was taken as a case study, even though it could be extrapolated to other sub-fields. Next, a glossary of key cardiology terms was created following a classic methodological approach. Then, the most relevant phases of the process (terminology extraction, search for synonyms, and selection of the clearest synonym) were reproduced using ChatGPT. The results of the comparative study between both approaches give a glimpse of the extent to which this technology can be a useful resource for creating glossaries that can be employed for writing using plain language.
Descripción
The registered version of this article, first published in “Terminology: International Journal of Theoretical and Applied Issues in Specialized Communication 31(1) (2025), 37-71", is available online at the publisher's website: John Benjamins Publishing, https://doi.org/10.1075/term.00083.vid
La versión registrada de este artículo, publicado por primera vez en “Terminology: International Journal of Theoretical and Applied Issues in Specialized Communication 31(1) (2025), 37-71", está disponible en línea en el sitio web del editor: John Benjamins Publishing, https://doi.org/10.1075/term.00083.vid
La versión registrada de este artículo, publicado por primera vez en “Terminology: International Journal of Theoretical and Applied Issues in Specialized Communication 31(1) (2025), 37-71", está disponible en línea en el sitio web del editor: John Benjamins Publishing, https://doi.org/10.1075/term.00083.vid
Categorías UNESCO
Palabras clave
Medical terminology, Terminography, Plain language, Doctor-patient communication, Computational linguistics, Generative AI
Citación
Vidal-Sabanés, Laia; Da Cunha, Iria (2025). «AI as a resource for the clarification of medical terminology: an analysis of its advantages and limitations». Terminology, 31(1). 37-71. https://doi.org/10.1075/term.00083.vid
Centro
Facultad de Filología
Departamento
Filologías Extranjeras y sus Lingüísticas
Grupo de investigación
ACTUALing