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 …

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 …

[HTML][HTML] Ischemic core overestimation on computed tomography perfusion

Á García-Tornel, D Campos, M Rubiera, S Boned… - Stroke, 2021 - journals.lww.com
Background and Purpose: Different studies have pointed that CT perfusion (CTP) could
overestimate ischemic core in early time window. We aim to evaluate the influence of time …

Tmax Volumes Predict Final Infarct Size and Functional Outcome in Ischemic Stroke Patients Receiving Endovascular Treatment

E Fainardi, G Busto, A Rosi, E Scola… - Annals of …, 2022 - Wiley Online Library
Objective The objective of this paper was to explore the utility of time to maximum
concentration (Tmax)‐based target mismatch on computed tomography perfusion (CTP) in …

Comparison of CT perfusion software packages for thrombectomy eligibility

L Pisani, DC Haussen, M Mohammaden… - Annals of …, 2023 - Wiley Online Library
Introduction Computed tomography perfusion (CTP) has played an important role in patient
selection for mechanical thrombectomy (MT) in acute ischemic stroke. We aimed to …

Assessment of perfusion volumes by a new automated software for computed tomography perfusion

Z Cao, D Wang, X Feng, P Yang, H Wang… - Stroke and Vascular …, 2024 - svn.bmj.com
Introduction To compare the perfusion volumes assessed by a new automated CT perfusion
(CTP) software iStroke with the circular singular value decomposition software RAPID and …

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 …

Clinical imaging of the penumbra in ischemic stroke: from the concept to the era of mechanical thrombectomy

L Chalet, T Boutelier, T Christen… - Frontiers in …, 2022 - frontiersin.org
The ischemic penumbra is defined as the severely hypoperfused, functionally impaired, at-
risk but not yet infarcted tissue that will be progressively recruited into the infarct core. Early …