Most promising approaches to improve stroke outcomes: the stroke treatment academic industry roundtable XII workshop

LR Wechsler, O Adeoye, F Alemseged… - Stroke, 2023 - Am Heart Assoc
The Stroke Treatment Academic Industry Roundtable XII included a workshop to discuss the
most promising approaches to improve outcome from acute stroke. The workshop brought …

Artificial intelligence applications in cardiovascular magnetic resonance imaging: are we on the path to avoiding the administration of contrast media?

R Cau, F Pisu, JS Suri, L Mannelli, M Scaglione… - Diagnostics, 2023 - mdpi.com
In recent years, cardiovascular imaging examinations have experienced exponential growth
due to technological innovation, and this trend is consistent with the most recent chest pain …

Priorities for advancements in neuroimaging in the diagnostic workup of acute stroke

EA Samaniego, J Boltze, PD Lyden, MD Hill… - Stroke, 2023 - Am Heart Assoc
STAIR XII (12th Stroke Treatment Academy Industry Roundtable) included a workshop to
discuss the priorities for advancements in neuroimaging in the diagnostic workup of acute …

Deep learning-based automatic ASPECTS calculation can improve diagnosis efficiency in patients with acute ischemic stroke: a multicenter study

J Wei, K Shang, X Wei, Y Zhu, Y Yuan, M Wang… - European …, 2024 - Springer
Abstract Objectives The Alberta Stroke Program Early CT Score (ASPECTS), a systematic
method for assessing ischemic changes in acute ischemic stroke using non-contrast …

Automated ASPECTS calculation may equal the performance of experienced clinicians: a machine learning study based on a large cohort

S Wan, W Lu, Y Fu, M Wang, K Liu, S Chen, W Chen… - European …, 2024 - Springer
Abstract Objectives The Alberta Stroke Program Early CT Score (ASPECTS) is a semi-
quantitative method to evaluate the severity of early ischemic change on non-contrast …

Clinical evaluation of a deep-learning model for automatic scoring of the Alberta stroke program early CT score on non-contrast CT

SJ Lee, G Park, D Kim, S Jung, S Song… - Journal of …, 2024 - jnis.bmj.com
Background Automated measurement of the Alberta Stroke Program Early Computed
Tomography Score (ASPECTS) can support clinical decision making. Based on a deep …

Endovascular thrombectomy with or without intravenous alteplase in large-core ischemic stroke: a systematic review and meta-analysis

Z Wang, K Ji, Q Fang - Neurological Sciences, 2024 - Springer
The role of bridging intravenous thrombolysis (IVT) with alteplase before endovascular
thrombectomy (EVT) in treating large core ischemic stroke remains uncertain. We aimed to …

Enhanced Prediction of Malignant Cerebral Edema in Large Vessel Occlusion with Successful Recanalization Through Automated Weighted Net Water Uptake

H Xu, M Zheng, W Liu, W Peng, J Qiu, W Huang… - World Neurosurgery, 2024 - Elsevier
Background Malignant cerebral edema (MCE) is associated with both net water uptake
(NWU) and infarct volume. We hypothesized that NWU weighted by the affected Alberta …

Novel artificial intelligence-based hypodensity detection tool improves clinician identification of hypodensity on non-contrast computed tomography in stroke patients

AD Santos, M Visser, L Lin, A Bivard, L Churilov… - Frontiers in …, 2024 - frontiersin.org
Introduction In acute stroke, identifying early changes (parenchymal hypodensity) on non-
contrast CT (NCCT) can be challenging. We aimed to identify whether the accuracy of …

Discrepancies in ASPECTS obtained by artificial intelligence and experts: Associated factors and prognostic implications

XQ Cheng, B Tian, LJ Huang, S Xi, QH Liu… - European Journal of …, 2024 - Elsevier
Purpose The differences between the Alberta Stroke Program Early CT Score (ASPECTS)
obtained by experts and artificial intelligence (AI) software require elucidation. We aimed to …