AI software detection of large vessel occlusion stroke on CT angiography: a real-world prospective diagnostic test accuracy study

Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center

(2021) A. Yahav-Dovrat et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

High-Performance Automated Anterior Circulation CT Angiographic Clot Detection in Acute Stroke: A Multireader Comparison

(2021) Seena Dehkharghani et al.   RADIOLOGY

Real-World Experience with Artificial Intelligence-Based Triage in Transferred Large Vessel Occlusion Stroke Patients

(2021) Jacob R. Morey et al.   CEREBROVASCULAR DISEASES

Time from image acquisition to endovascular team notification: a new target for enhancing acute stroke workflow

(2021) Kurt A Yaeger et al.   Journal of NeuroInterventional Surgery

The True Potential of Artificial Intelligence for Detection of Large-Vessel Occlusion: The Role of M2 Occlusions

(2021) S.P.R. Luijten et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Automated emergent large vessel occlusion detection by artificial intelligence improves stroke workflow in a hub and spoke stroke system of care

(2021) Lucas Elijovich et al.   Journal of NeuroInterventional Surgery

Diagnostic performance of an algorithm for automated large vessel occlusion detection on CT angiography

(2021) Sven P R Luijten et al.   Journal of NeuroInterventional Surgery

Artificial Intelligence and Deep Learning in Neuroradiology: Exploring the New Frontier

(2020) Hussam Kaka et al.   CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES

Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network

(2020) Matthew T. Stib et al.   RADIOLOGY

Deep Learning Based Software to Identify Large Vessel Occlusion on Noncontrast Computed Tomography

(2020) Marta Olive-Gadea et al.   STROKE

Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model

(2020) Ameer E Hassan et al.   INTERVENTIONAL NEURORADIOLOGY

Abstract WMP16: Artificial Intelligence Detection of Cerebrovascular Large Vessel Occlusion - Nine Month, 650 Patient Evaluation of the Diagnostic Accuracy and Performance of the Viz.ai LVO Algorithm

(2019) Arindam Chatterjee et al.   STROKE

Efficacy of endovascular thrombectomy in patients with M2 segment middle cerebral artery occlusions: meta-analysis of data from the HERMES Collaboration

(2019) Bijoy K Menon et al.   Journal of NeuroInterventional Surgery

Machine Learning–Enabled Automated Determination of Acute Ischemic Core From Computed Tomography Angiography

(2019) Sunil A. Sheth et al.   STROKE

Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review

(2019) Nick M Murray et al.   Journal of NeuroInterventional Surgery

Automated Detection of Intracranial Large Vessel Occlusions on Computed Tomography Angiography

(2019) Shalini A. Amukotuwa et al.   STROKE

Fast Automatic Detection of Large Vessel Occlusions on CT Angiography

(2019) Shalini A. Amukotuwa et al.   STROKE

Guidelines for the Early Management of Patients With Acute Ischemic Stroke: 2019 Update to the 2018 Guidelines for the Early Management of Acute Ischemic Stroke

(2019) John J. Warner et al.   STROKE

STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration

(2016) Jérémie F Cohen et al.   BMJ Open

Optimization modeling to maximize population access to comprehensive stroke centers

(2015) M. T. Mullen et al.   NEUROLOGY

A systematic review classifies sources of bias and variation in diagnostic test accuracy studies

(2013) Penny F. Whiting et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY