2 citations · 2 across the 3 of their papers we have counts for
4 papers
Ontology-Based Post-Coordinated Expression Assembly: from Clinical Narrative to Queryable Knowledge Graphs
Johann Pignat, Christophe Gaudet-Blavignac, Julien Ehrsam +7
Clinical oncology documentation records decisive information in free text, where it remains readable but not retrievable at scale, leaving cohort identification dependent on incomp…
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…
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…