Cargando…
End to end stroke triage using cerebrovascular morphology and machine learning
BACKGROUND: Rapid and accurate triage of acute ischemic stroke (AIS) is essential for early revascularization and improved patient outcomes. Response to acute reperfusion therapies varies significantly based on patient-specific cerebrovascular anatomy that governs cerebral blood flow. We present an...
Autores principales: | Deshpande, Aditi, Elliott, Jordan, Jiang, Bin, Tahsili-Fahadan, Pouya, Kidwell, Chelsea, Wintermark, Max, Laksari, Kaveh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628321/ https://www.ncbi.nlm.nih.gov/pubmed/37941573 http://dx.doi.org/10.3389/fneur.2023.1217796 |
Ejemplares similares
-
Automatic segmentation, feature extraction and comparison of healthy and stroke cerebral vasculature
por: Deshpande, Aditi, et al.
Publicado: (2021) -
Hypothermia and brain inflammation after cardiac arrest
por: Tahsili-Fahadan, Pouya, et al.
Publicado: (2018) -
Antiepileptic drugs in critically ill patients
por: Farrokh, Salia, et al.
Publicado: (2018) -
The impact of COVID-19 on acute ischemic stroke admissions: Analysis from a community-based tertiary care center
por: Wang, Jing, et al.
Publicado: (2020) -
Machine Learning Analysis of the Cerebrovascular Thrombi Proteome in Human Ischemic Stroke: An Exploratory Study
por: Dargazanli, Cyril, et al.
Publicado: (2020)