Systematic review of machine learning applied to the secondary prevention of ischemic stroke
M Chen, D Qian, Y Wang, J An, K Meng, S Xu… - Journal of Medical …, 2024 - Springer
Ischemic stroke is a serious disease posing significant threats to human health and life, with
the highest absolute and relative risks of a poor prognosis following the first occurrence, and …
the highest absolute and relative risks of a poor prognosis following the first occurrence, and …
Challenges and Potential of Artificial Intelligence in Neuroradiology
Purpose Artificial intelligence (AI) has emerged as a transformative force in medical
research and is garnering increased attention in the public consciousness. This represents a …
research and is garnering increased attention in the public consciousness. This represents a …
[HTML][HTML] A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata
Acute ischemic stroke (AIS) remains a global health challenge, leading to long-term
functional disabilities without timely intervention. Spatio-temporal (4D) Computed …
functional disabilities without timely intervention. Spatio-temporal (4D) Computed …
Machine learning segmentation of core and penumbra from acute stroke CT perfusion data
Introduction Computed tomography perfusion (CTP) imaging is widely used in cases of
suspected acute ischemic stroke to positively identify ischemia and assess suitability for …
suspected acute ischemic stroke to positively identify ischemia and assess suitability for …
Predicting the tissue outcome of acute ischemic stroke from acute 4D computed tomography perfusion imaging using temporal features and deep learning
Predicting follow-up lesions from baseline CT perfusion (CTP) datasets in acute ischemic
stroke patients is important for clinical decision making. Deep convolutional networks …
stroke patients is important for clinical decision making. Deep convolutional networks …
ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data
Accurate estimation of core (irreversibly damaged tissue) and penumbra (salvageable
tissue) volumes is essential for ischemic stroke treatment decisions. Perfusion CT, the …
tissue) volumes is essential for ischemic stroke treatment decisions. Perfusion CT, the …
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes
Acute ischemic stroke is a leading cause of mortality and morbidity worldwide. Timely
identification of the extent of a stroke is crucial for effective treatment, whereas spatio …
identification of the extent of a stroke is crucial for effective treatment, whereas spatio …
Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke
Acute ischemic stroke is a critical health condition that requires timely intervention. Following
admission, clinicians typically use perfusion imaging to facilitate treatment decision-making …
admission, clinicians typically use perfusion imaging to facilitate treatment decision-making …
A comprehensive review for artificial intelligence on neuroimaging in rehabilitation of ischemic stroke
Z Zhao, Y Zhang, J Su, L Yang, L Pang, Y Gao… - Frontiers in …, 2024 - frontiersin.org
Stroke is the second leading cause of death worldwide, with ischemic stroke accounting for
a significant proportion of morbidity and mortality among stroke patients. Ischemic stroke …
a significant proportion of morbidity and mortality among stroke patients. Ischemic stroke …
Self-supervised few-shot learning for ischemic stroke lesion segmentation
L Tomasetti, S Hansen… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Precise ischemic lesion segmentation plays an essential role in improving diagnosis and
treatment planning for ischemic stroke, one of the prevalent diseases with the highest …
treatment planning for ischemic stroke, one of the prevalent diseases with the highest …