Artificial intelligence in clinical decision support and outcome prediction – applications in stroke

Yeo, Melissa, Kok, Hong Kuan, Kutaiba, Numan, Maingard, Julian, Thijs, Vincent, Tahayori, Bahman, Russell, Jeremy, Jhamb, Ashu, Chandra, Ronil V., Brooks, Mark, Barras, Christen D. and Asadi, Hamed 2021, Artificial intelligence in clinical decision support and outcome prediction – applications in stroke, Journal of medical imaging and radiation oncology, pp. 1-11, doi: 10.1111/1754-9485.13193.

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Title Artificial intelligence in clinical decision support and outcome prediction – applications in stroke
Author(s) Yeo, Melissa
Kok, Hong Kuan
Kutaiba, Numan
Maingard, Julian
Thijs, Vincent
Tahayori, Bahman
Russell, Jeremy
Jhamb, Ashu
Chandra, Ronil V.
Brooks, Mark
Barras, Christen D.
Asadi, HamedORCID iD for Asadi, Hamed orcid.org/0000-0003-2475-9727
Journal name Journal of medical imaging and radiation oncology
Start page 1
End page 11
Total pages 11
Publisher Wiley
Place of publication Chichester, Eng.
Publication date 2021
ISSN 1754-9477
1754-9485
Keyword(s) ACUTE ISCHEMIC-STROKE
ARTERY SIGN
artificial intelligence
COMPUTED-TOMOGRAPHY
computer aided diagnosis
computers in radiology
decision support
EARLY CT SCORE
ENDOVASCULAR TREATMENT
IMAGE-ANALYSIS
INTRACRANIAL HEMORRHAGE
LESION SEGMENTATION
Life Sciences & Biomedicine
machine learning
neuroradiology
NONCONTRAST CT
outcome prediction
PERFUSION
Radiology, Nuclear Medicine & Medical Imaging
Science & Technology
stroke
Notes Early View Article
Language eng
DOI 10.1111/1754-9485.13193
Indigenous content off
Field of Research 1103 Clinical Sciences
1110 Nursing
1112 Oncology and Carcinogenesis
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30152329

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
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