ePoster · Medical Imaging
Towards predicting Stroke Etiology from MRI and CT Imaging Data of Ischemic Stroke Patients
Beatrice Guastella, Steffen Tiedt, Hannah Spitzer · Bernstein Conference 2024
Recognizing the causes of ischemic stroke is crucial for defining secondary preventive strategies. Etiology-based classification systems integrate clinical, imaging, and laboratory findings to assign stroke etiology[1-4]. However, this requires significant time and resources, and these systems still fail to assign etiology in up to 53% of cases[5]. This project aims to develop a Machine Learning (ML) model to predict etiology directly from neuroimaging data of ischemic stroke patients, in order to automate and expedite etiology assignment, and potentially outperform existing systems by identi