AIMC Topic: Stroke
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Towards stroke prediction using electronic health records.
BMC medical informatics and decision making
Dec 4, 2018
BACKGROUND: As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken. We aim to predict a diagnosis of stroke within one year of t...
Robot-assisted gait training effectively improved lateropulsion in subacute stroke patients: a single-blinded randomized controlled trial.
European journal of physical and rehabilitation medicine
Dec 3, 2018
BACKGROUND: Some stroke patients are known to use nonparetic extremities to push toward the paretic side, a movement known as lateropulsion. Lateropulsion impairs postural balance and interferes with rehabilitation.
Automated ASPECTS on Noncontrast CT Scans in Patients with Acute Ischemic Stroke Using Machine Learning.
AJNR. American journal of neuroradiology
Nov 29, 2018
BACKGROUND AND PURPOSE: Alberta Stroke Program Early CT Score (ASPECTS) was devised as a systematic method to assess the extent of early ischemic change on noncontrast CT (NCCT) in patients with acute ischemic stroke (AIS). Our aim was to automate AS...
Machine learning methods for leveraging baseline covariate information to improve the efficiency of clinical trials.
Statistics in medicine
Nov 25, 2018
Clinical trials are widely considered the gold standard for treatment evaluation, and they can be highly expensive in terms of time and money. The efficiency of clinical trials can be improved by incorporating information from baseline covariates tha...
Complex robotic compared to manual coronary interventions: 6- and 12-month outcomes.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Nov 19, 2018
OBJECTIVES: To assess the long-term safety and efficacy of robotic percutaneous coronary revascularization for use in complex coronary lesions.
Simultaneous NODDI and GFA parameter map generation from subsampled q-space imaging using deep learning.
Magnetic resonance in medicine
Nov 13, 2018
PURPOSE: To develop a robust multidimensional deep-learning based method to simultaneously generate accurate neurite orientation dispersion and density imaging (NODDI) and generalized fractional anisotropy (GFA) parameter maps from undersampled q-spa...
Physiological Responses and Perceived Exertion During Robot-Assisted and Body Weight-Supported Gait After Stroke.
Neurorehabilitation and neural repair
Nov 12, 2018
INTRODUCTION: Physiological responses are rarely considered during walking after stroke and if considered, only during a short period (3-6 minutes). The aims of this study were to examine physiological responses during 30-minute robot-assisted and bo...
Effect of Stride Management Assist Gait Training for Poststroke Hemiplegia: A Single Center, Open-Label, Randomized Controlled Trial.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Nov 9, 2018
BACKGROUND: Poststroke gait disorders negatively impact activities of daily living. Rehabilitation for stroke patients is aimed at improving their walking ability, balance, and quality of life. Robot-assisted gait training (RAGT) is associated with a...
Robot-Assisted Reach Training With an Active Assistant Protocol for Long-Term Upper Extremity Impairment Poststroke: A Randomized Controlled Trial.
Archives of physical medicine and rehabilitation
Oct 26, 2018
OBJECTIVE: To assess whether robot-assisted reach training (RART) with an active assistant protocol can improve upper extremity function and kinematic performance in chronic stroke survivors.
JOURNAL CLUB: Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information.
AJR. American journal of roentgenology
Oct 24, 2018
OBJECTIVE: When treatment decisions are being made for patients with acute ischemic stroke, timely and accurate outcome prediction plays an important role. The optimal rehabilitation strategy also relies on long-term outcome predictions. The decision...
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