AIMC Topic: Moyamoya Disease

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Classifying intracranial stenosis disease severity from functional MRI data using machine learning.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism May 8, 2019
Translation of many non-invasive hemodynamic MRI methods to cerebrovascular disease patients has been hampered by well-known artifacts associated with delayed blood arrival times and reduced microvascular compliance. Using machine learning and suppor...
Humans Machine Learning Brain Female Young Adult Sensitivity and Specificity Middle Aged Severity of Illness Index Case-Control Studies Image Processing, Computer-Assisted Magnetic Resonance Angiography Cerebrovascular Circulation Moyamoya Disease Cerebral Angiography
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Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network.

EBioMedicine Dec 29, 2018
BACKGROUND: Recently, innovative attempts have been made to identify moyamoya disease (MMD) by focusing on the morphological differences in the head of MMD patients. Following the recent revolution in the development of deep learning (DL) algorithms,...
Humans Neural Networks, Computer Machine Learning Algorithms Female Reproducibility of Results Young Adult Adult Male Middle Aged ROC Curve Image Processing, Computer-Assisted Data Interpretation, Statistical Radiography Skull Moyamoya Disease
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A case of central diabetes insipidus after ketamine infusion during an external to internal carotid artery bypass.

Journal of clinical anesthesia Nov 25, 2016
STUDY OBJECTIVE: We report the first teenage case of ketamine-induced transient central diabetes insipidus.
Humans Female Adolescent Ketamine Anastomosis, Surgical Urine Carotid Artery, Internal Intraoperative Complications Anesthetics, Dissociative Carotid Artery, External Diabetes Insipidus, Neurogenic Moyamoya Disease
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