Development and Assessment of a novel Diagnostic Framework to assess Acute Stroke Patients - Improvement of Treatment Selection and Outcome Prediction

Institution: Sektion Interventionelle Neuroradiologie, Universitätsklinikum Münster
Applicant: PD Dr. Tobias D. Faizy
Funding line:
Else Kröner Excellence Fellowships

In the setting of an ischemic stroke, tiny blood vessels, so-called „collaterals“, are able to maintain blood flow to otherwise critically hypoperfused brain areas. These collateral vessels are of utmost importance during treatment triage of ischemic stroke patients, and knowledge about their quality and quantity are crucial for the treating physician. With this proposal, we aim to present a novel diagnostic framework to assess and quantify cerebral collateral vessels on computed tomography images using machine learning algorithms based upon artificial intelligence.