Artificial Intelligence and Acute Stroke Imaging
- 26 November 2020
- journal article
- review article
- Published by American Society of Neuroradiology (ASNR) in American Journal of Neuroradiology
- Vol. 42 (1), 2-11
- https://doi.org/10.3174/ajnr.a6883
Abstract
SUMMARY: Artificial intelligence technology is a rapidly expanding field with many applications in acute stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute stroke is critical for initiating prompt intervention to reduce morbidity and mortality. Artificial intelligence can help with various aspects of the stroke treatment paradigm, including infarct or hemorrhage detection, segmentation, classification, large vessel occlusion detection, Alberta Stroke Program Early CT Score grading, and prognostication. In particular, emerging artificial intelligence techniques such as convolutional neural networks show promise in performing these imaging-based tasks efficiently and accurately. The purpose of this review is twofold: first, to describe AI methods and available public and commercial platforms in stroke imaging, and second, to summarize the literature of current artificial intelligence–driven applications for acute stroke triage, surveillance, and prediction.Keywords
This publication has 62 references indexed in Scilit:
- Stent-Retriever Thrombectomy after Intravenous t-PA vs. t-PA Alone in StrokeThe New England Journal of Medicine, 2015
- Thrombectomy within 8 Hours after Symptom Onset in Ischemic StrokeThe New England Journal of Medicine, 2015
- Randomized Assessment of Rapid Endovascular Treatment of Ischemic StrokeThe New England Journal of Medicine, 2015
- Endovascular Therapy for Ischemic Stroke with Perfusion-Imaging SelectionThe New England Journal of Medicine, 2015
- An automated detection method for the MCA dot sign of acute stroke in unenhanced CTRadiological Physics and Technology, 2013
- Machine learning and radiologyMedical Image Analysis, 2012
- An image feature approach for computer-aided detection of ischemic strokeComputers in Biology and Medicine, 2011
- Stroke Epidemiology: Advancing Our Understanding of Disease Mechanism and TherapyNeurotherapeutics, 2011
- A review of feature selection techniques in bioinformaticsBioinformatics, 2007
- Statistical validation of image segmentation quality based on a spatial overlap index1: scientific reportsAcademic Radiology, 2004