RT Journal Article T1 Using ChatGPT and determinologisation to enhance understanding of lung cancer information. A1 Varela-Salinas, María José A1 Godoy Lorenzatto, Adriana K1 Medicina - Lenguaje K1 Enfermos de cáncer - Asistencia K1 Pulmones - Cáncer - Tratamiento K1 Inteligencia artificial - Aplicaciones científicas AB Lung cancer is associated to high mortality rates and has a large impact on the quality of life of patients and families, who therefore need suitable information to deal with the situation. However, information provided by health services is often not adapted to lay users and retains a considerable number of technicalities that impair comprehensibility. Accessibility, a concept receiving increasing attention, not only involves physical access but also understanding relevant information when it comes to the medical setting. One of the main intralingual translation procedures used to adapt specialised text is determinologisation, which comprises strategies like using common-speech synonyms, explanations, examples, etc. Recent artificial intelligence generative models offer a promising tool to produce texts at different specialisation levels. In this study, we evaluated the capacity of ChatGPT for determinologisation of terms extracted from a corpus of patient-oriented lung-cancer texts and compared the results with reliable patient-oriented online sources. ChatGPT produced definitions and context information similar to those of the online sources in a very short amount of time. However, both the choice of suitable input prompts and the post-edition process necessary to produce quality final texts on lung-cancer information still required the supervision of human experts. PB De Gruyter YR 2024 FD 2024-10-14 LK https://hdl.handle.net/10630/35808 UL https://hdl.handle.net/10630/35808 LA eng NO Varela Salinas, María-José and Godoy Lorenzatto, Adriana. "Using ChatGPT and determinologisation to enhance understanding of lung cancer information" Lebende Sprachen, vol. 69, no. 2, 2024, pp. 412-433. https://doi.org/10.1515/les-2024-0020 NO https://openpolicyfinder.jisc.ac.uk/id/publication/3298 DS RIUMA. Repositorio Institucional de la Universidad de Málaga RD 20 ene 2026