Automated detection of acute ischemic stroke on diffusion MRI in patients with suspected stroke and stroke mimics: A real-world deep learning study - 29/05/26
Doi : 10.1016/j.neuri.2026.100279
Camille-Albane Pincet a, b, ⁎ 
, Sandrine Deltour c, d , Raphaël Baudrillart e , Aurane Jean-Elie a , Simon Elbaze a , Jean-Baptiste Brunet de Courssou c, d , Milica Mastilovic f, g , Zehira Haddad e , Myriam Edjlali h
, Sandrine Deltour c, d , Raphaël Baudrillart e , Aurane Jean-Elie a , Simon Elbaze a , Jean-Baptiste Brunet de Courssou c, d , Milica Mastilovic f, g , Zehira Haddad e , Myriam Edjlali h a Radiology Department, AP-HP, Raymond Poincaré Hospital, 92380, Garches, France
b Sorbonne University, Faculty of Medicine, Paris, France
c Neurovascular Department, AP-HP, Raymond Poincaré Hospital, 92380, Garches, France
d Université de Versailles Saint-Quentin-en-Yvelines, France
e EPF Engineering School, 55 avenue du Président Wilson 94230 Cachan, France
f Laboratoire d'imagerie Biomédicale Multimodale (BioMaps), Université Paris-Saclay, CEA, CNRS, Inserm, Service Hospitalier Frédéric Joliot, Orsay, France
g Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
h Multimodal Biomedical Imaging Laboratory (BioMaps), Paris-Saclay University, CEA, CNRS, Inserm, Frédéric Joliot Hospital Department, Orsay, France
⁎ Corresponding author. Radiology Department, AP-HP, Raymond Poincaré Hospital, 92380, Garches, France Radiology Department AP-HP Raymond Poincaré Hospital Garches 92380 France
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Highlights |
• | AI triage model trained on a real-world, unselected stroke population . |
• | High recall (95%) enabling safe prioritization of urgent cases . |
• | Patient-level classification aligned with clinical workflow needs . |
• | Demonstrates feasibility of clinically applicable AI beyond simplified datasets . |
• | Provides a framework for future multimodal and prognostic AI models . |
Plan
© 2026
Publié par Elsevier Masson SAS.
Vol 6 - N° 3
Article 100279- septembre 2026 Retour au numéro
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