5 citations · 5 across the 2 of their papers we have counts for
4 papers
Multilingual Artificial Datasets for AI-Driven Cardiology: the CliTe and ParaCliTe corpora
Lorenzo Pratesi, Eulalia Farre-Maduell, Machteld Boonstra +21
Background and Aims. Comparable, multilingual, validated cardiology corpora are critical to advance trustworthy natural language processing (NLP) models for cardiology but such res…
CardioLM: A multilingual suite of small language models for the cardiology domain
Manuela-Daniela Danu, Miguel Rodríguez-Ortega, Alberto Becerra-Tome +37
Background: Cardiovascular care generates large volumes of clinical free-text documentation in local languages. However, clinical natural language processing (NLP) resources remain…
Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation
Michele Miranda, Xinlan Yan, Nishant Mishra +4
Protecting patient privacy in clinical narratives is essential for enabling secondary use of healthcare data under regulations such as GDPR and HIPAA. While manual de-identificatio…
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli +3
Large Language Models (LLMs) represent a significant advancement in artificial intelligence, finding applications across various domains. However, their reliance on massive interne…