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Peer-Reviewed Publication
Clin Neuroradiol2022;32(2):419-426.June 1, 2022Journal Article

Automated Detection of Ischemic Stroke and Subsequent Patient Triage in Routinely Acquired Head CT.

Tom Finck1, David Schinz2, Lioba Grundl2, Rami Eisawy3,4, Mehmet Yiğitsoy4, Julia Moosbauer4, Claus Zimmer2, Franz Pfister4, Benedikt Wiestler2
1Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany. Tom.Finck@tum.de.
2Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
3Chair for Computer Aided Medical Procedures & Augmented Reality, Technische Universität München, Munich, Germany.
4Deepc GmbH, Munich, Germany.
PubMed PMC DOI PDF

Abstract

PURPOSE: Advanced machine-learning (ML) techniques can potentially detect the entire spectrum of pathology through deviations from a learned norm. We investigated the utility of a weakly supervised ML tool to detect characteristic findings related to ischemic stroke in head CT and provide subsequent patient triage. METHODS: Patients having undergone non-enhanced head CT at a tertiary care hospita…

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