Artificial intelligence and machine learning in the diagnosis and management of stroke: a narrative review of United States food and drug administration-approved …

AS Chandrabhatla, EA Kuo, JD Sokolowski… - Journal of Clinical …, 2023 - mdpi.com
Stroke is an emergency in which delays in treatment can lead to significant loss of
neurological function and be fatal. Technologies that increase the speed and accuracy of …

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

MR Hernandez Petzsche, E de la Rosa, U Hanning… - Scientific data, 2022 - nature.com
Magnetic resonance imaging (MRI) is an important imaging modality in stroke. Computer
based automated medical image processing is increasingly finding its way into clinical …

How to improve the management of acute ischemic stroke by modern technologies, artificial intelligence, and new treatment methods

K Zeleňák, A Krajina, L Meyer, J Fiehler… - Life, 2021 - mdpi.com
Stroke remains one of the leading causes of death and disability in Europe. The European
Stroke Action Plan (ESAP) defines four main targets for the years 2018 to 2030. The COVID …

Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere …

RA Rava, KV Snyder, M Mokin, M Waqas… - Journal of …, 2021 - jnis.bmj.com
Background CT perfusion (CTP) infarct and penumbra estimations determine the eligibility of
patients with acute ischemic stroke (AIS) for endovascular intervention. This study aimed to …

FDA-approved machine learning algorithms in neuroradiology: a systematic review of the current evidence for approval

AG Yearley, CMW Goedmakers, A Panahi… - Artificial Intelligence in …, 2023 - Elsevier
Over the past decade, machine learning (ML) and artificial intelligence (AI) have become
increasingly prevalent in the medical field. In the United States, the Food and Drug …

Validation of an artificial intelligence-driven large vessel occlusion detection algorithm for acute ischemic stroke patients

RA Rava, BA Peterson, SE Seymour… - The Neuroradiology …, 2021 - journals.sagepub.com
Rapid and accurate diagnosis of large vessel occlusions (LVOs) in acute ischemic stroke
(AIS) patients using automated software could improve clinical workflow in determining …

Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA

C Wang, Z Shi, M Yang, L Huang… - Journal of Cerebral …, 2021 - journals.sagepub.com
The accurate identification of irreversible infarction and salvageable tissue is important in
planning the treatments for acute ischemic stroke (AIS) patients. Computed tomographic …

Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning

MMS Bhurwani, T Boutelier, A Davis… - Journal of Medical …, 2023 - spiedigitallibrary.org
Purpose The size and location of infarct and penumbra are key to decision-making for acute
ischemic stroke (AIS) management. CT perfusion (CTP) software estimate infarct and …

Agreement of three CT perfusion software packages in patients with acute ischemic stroke: a comparison with RAPID

Q Lu, J Fu, K Lv, Y Han, Y Pan, Y Xu, J Zhang… - European journal of …, 2022 - Elsevier
Purpose To compare ischemic core volume (ICV) and penumbra volume (PV) measured by
MIStar, F-STROKE, and Syngo. via with that measured by RAPID in acute ischemic stroke …

Automated collateral flow assessment in patients with acute ischemic stroke using computed tomography with artificial intelligence algorithms

RA Rava, SE Seymour, KV Snyder, M Waqas… - World Neurosurgery, 2021 - Elsevier
Background Collateral circulation is associated with improved functional outcome in patients
with large vessel occlusion acute ischemic stroke (AIS) who undergo reperfusion therapy …