Evaluation of a Deep Learning Tool for Detecting Large Vessel Occlusion and Intracranial Hemorrhage on Noncontrast Computed Tomography Scans
The AI modules demonstrated high sensitivity and specificity in predicting ICH and LVO, suggesting their potential in offering support in clinical decisions in stroke networks immediately after NCCT is performed.
Authors
- Xabier Urra (ORCID: https://orcid.org/0000-0002-4763-5252)
- Marta Olivé‐Gadea (ORCID: https://orcid.org/0000-0003-4637-1598)
- Demetrius K. Lopes (ORCID: https://orcid.org/0000-0002-6280-0113)
- Tudor G. Jovin (ORCID: https://orcid.org/0000-0002-2619-6975)
- Santiago Ortega‐Gutiérrez (ORCID: https://orcid.org/0000-0002-3408-1297)
- Kiffon Marie Keigher (ORCID: https://orcid.org/0009-0000-6896-1244)
- Ansaar Rai (ORCID: https://orcid.org/0000-0001-9864-4805)
- Leonardo Tanzi (ORCID: https://orcid.org/0000-0002-8813-6388)
- Marc Ribó (ORCID: https://orcid.org/0000-0001-9242-043X)
- Laura Oleaga (ORCID: https://orcid.org/0000-0001-9702-0451)
- María Hernández‐Pérez (ORCID: https://orcid.org/0000-0001-8279-7954)
- Judith Cendrero
- Victor Salvia
Institutions
- West Virginia University (US)
- Cooper University Hospital (US)
- University of Iowa Hospitals and Clinics (US)
- Medtronic (Ireland) (IE)
- Advocate Health Care (US)
- Blanchette Rockefeller Neurosciences Institute (US)
- Medtronic (United States) (US)
- Community Link (US)
- Hospital Clínic de Barcelona (ES)
- Vall d'Hebron Hospital Universitari (ES)
- Isdin (Spain) (ES)
- Hospital Universitari Germans Trias i Pujol (ES)
Publication Details
- Journal
- Stroke Vascular and Interventional Neurology
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1161/svin.125.001872
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00