131 citations · 133 across the 4 of their papers we have counts for
4 papers
Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content
Lydie Bednarczyk, Jamil Zaghir, Julien Ehrsam +11
Objectives: Large language models (LLMs) are increasingly used for clinical text summarization, yet structured methods to assess associated patient safety risks remain limited. Fai…
FRACCO: A gold-standard annotated corpus of oncological entities with ICD-O-3.1 normalisation
Johann Pignat, Milena Vucetic, Christophe Gaudet-Blavignac +8
Developing natural language processing tools for clinical text requires annotated datasets, yet French oncology resources remain scarce. We present FRACCO (FRench Annotated Corpus…
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
Jamil Zaghir, Marco Naguib, Mina Bjelogrlic +3
Prompt engineering is crucial for harnessing the potential of large language models (LLMs), especially in the medical domain where specialized terminology and phrasing is used. How…
FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection
Jamil Zaghir, Mina Bjelogrlic, Jean-Philippe Goldman +3
Natural language processing (NLP) applications such as named entity recognition (NER) for low-resource corpora do not benefit from recent advances in the development of large langu…