Search Results - kaveh+laksari

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Stroke Outcome Prediction Using Vascular Imaging Features and Machine Learning
This technology is a stroke outcome prediction method to determine patient outcomes and inform treatment decisions. The method utilizes machine learning models trained with patient-specific vascular imaging features, patient demographics, stroke severity scores and clinical history as predictors to forecast a 90-day functional outcome following an ischemic...
Published: 8/1/2024   |   Inventor(s): Aditi Deshpande, Kaveh Laksari, Jordan Elliott, Pouya Tahsili-Fahadan
Keywords(s):  
Category(s): Technology Classifications > Life Sciences > Diagnostics, Technology Classifications > Healthcare Portfolios > Neurology, Technology Classifications > Healthcare Portfolios > Neurology > CNS & Neurosciences
Stroke Outcome Prediction using Vascular Imaging Features
This is a prediction method to determine the outcome of a stroke based on vascular images presented by the patient. This model predicts the 90-day functional outcome after ischemic stroke at a significantly higher accuracy than current models, to inform treatment decisions and patient selection. Machine learning models were employed and trained with...
Published: 8/1/2024   |   Inventor(s): Kaveh Laksari, Aditi Deshpande, Jordan Elliott, Pouya Tahsili-Fahadan
Keywords(s):  
Category(s): Technology Classifications > Healthcare Portfolios > Neurology > CNS & Neurosciences, Technology Classifications > Healthcare Portfolios > Neurology, Technology Classifications > Life Sciences > Diagnostics
Noninvasive Real-Time Patient-Specific Assessment of Stroke Severity
This technology involves a method for obtaining information for use in determining stroke severity includes simulating, with a processor with a processor executing instructions stored on a computer readable medium, cerebral blood flow using as inputs information extracted from an angiography scan of the stroke patient and information concerning blood...
Published: 1/3/2025   |   Inventor(s): Kaveh Laksari, Hessam Babaee
Keywords(s):  
Category(s): Technology Classifications > Healthcare Portfolios > Ear, Nose, & Throat, Technology Classifications > Imaging & Optics > Medical Imaging, Technology Classifications > Imaging & Optics > Sensors and Detection, Technology Classifications > Healthcare Portfolios > Health Education, Medical Training and Operations