4 citations
- Université de LilleFR2 papers
- Assistance Publique – Hôpitaux de ParisFR1 paper
- Centre de Recherche Jean Pierre AubertFR1 paper
- Centre Hospitalier Universitaire de LilleFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centre Oscar LambretFR1 paper
- Harvard UniversityUS1 paper
- InsermFR1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- Institut Pasteur de LilleFR1 paper
- Massachusetts General HospitalUS1 paper
- Pitié-Salpêtrière HospitalFR1 paper
2 papers
cs.LG2025★ 4 cited
Development and Comparative Evaluation of Three Artificial Intelligence Models (NLP, LLM, JEPA) for Predicting Triage in Emergency Departments: A 7-Month Retrospective Proof-of-Concept
Edouard Lansiaux, Ramy Azzouz, Emmanuel Chazard +2
Emergency departments struggle with persistent triage errors, especially undertriage and overtriage, which are aggravated by growing patient volumes and staff shortages. This study…
cs.LG2025
Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction
Vincent Roca, Marc Tommasi, Paul Andrey +8
Brain-predicted age difference (BrainAGE) is a neuroimaging biomarker reflecting brain health. However, training robust BrainAGE models requires large dataset…