AIMC Topic: Spinal Cord Diseases

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Immediate effects of hybrid assistive limb gait training on lower limb function in a chronic myelopathy patient with postoperative late neurological deterioration.

BMC research notes Mar 4, 2022
OBJECTIVE: The Hybrid Assistive Limb (HAL) has recently been used to treat movement disorders. Although studies have shown its effectiveness for chronic myelopathy, the immediate effects of HAL gait training on lower limb function have not been clari...
Lower Extremity Robotics Walking Gait Spinal Cord Diseases Humans Aged Male
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Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.

Radiology Sep 21, 2021
Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who will develop ASD remains challenging for clinicians. Purpose To develop and validate a deep learnin...
Spinal Fusion Image Interpretation, Computer-Assisted Radiculopathy Preoperative Care Diskectomy Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Cervical Vertebrae Humans Retrospective Studies Spinal Cord Diseases Female Adult Reproducibility of Results Sensitivity and Specificity Male Middle Aged Postoperative Complications
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Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research.

PloS one Sep 2, 2021
INTRODUCTION: Degenerative Cervical Myelopathy (DCM) is a common and disabling condition, with a relatively modest research capacity. In order to accelerate knowledge discovery, the AO Spine RECODE-DCM project has recently established the top priorit...
North America Medical Laboratory Personnel Neurodegenerative Diseases Japan Research Personnel International Cooperation Spinal Cord Diseases Retrospective Studies Humans Biomedical Research Neural Networks, Computer Bibliometrics Machine Learning Neck Authorship
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Prediction of the risk of C5 palsy after posterior laminectomy and fusion with cervical myelopathy using a support vector machine: an analysis of 184 consecutive patients.

Journal of orthopaedic surgery and research May 21, 2021
BACKGROUND: This study aimed to predict C5 palsy (C5P) after posterior laminectomy and fusion (PLF) with cervical myelopathy (CM) from routinely available variables using a support vector machine (SVM) method.
Risk Factors Aged Male Middle Aged Postoperative Complications Humans Forecasting Retrospective Studies Female Spinal Fusion Multivariate Analysis Spinal Cord Diseases ROC Curve Paralysis Logistic Models Laminectomy Support Vector Machine Cervical Vertebrae
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Prognosis of cervical myelopathy based on diffusion tensor imaging with artificial intelligence methods.

NMR in biomedicine May 27, 2019
Diffusion tensor imaging (DTI) has been proposed for the prognosis of cervical myelopathy (CM), but the manual analysis of DTI features is complicated and time consuming. This study evaluated the potential of artificial intelligence (AI) methods in t...
Middle Aged Humans Deep Learning Artificial Intelligence Cervical Vertebrae Prognosis Diffusion Tensor Imaging Spinal Cord Diseases Female Male
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Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy.

PloS one Apr 4, 2019
Degenerative cervical myelopathy (DCM) is a spinal cord condition that results in progressive non-traumatic compression of the cervical spinal cord. Spine surgeons must consider a large quantity of information relating to disease presentation, imagin...
Predictive Value of Tests Intervertebral Disc Degeneration Decompression, Surgical Spinal Cord Diseases Middle Aged Postoperative Complications Comorbidity Humans Treatment Outcome Machine Learning Prospective Studies Female Male
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Machine Learning for the Prediction of Cervical Spondylotic Myelopathy: A Post Hoc Pilot Study of 28 Participants.

World neurosurgery Mar 25, 2019
BACKGROUND: Cervical spondylotic myelopathy (CSM) severity and presence of symptoms are often difficult to predict based simply on clinical imaging alone. Similarly, improved machine learning techniques provide new tools with immense clinical potenti...
Machine Learning Prognosis Female Aged Adult Male Middle Aged Pilot Projects Treatment Outcome Humans Cervical Vertebrae Spinal Cord Diseases Spondylosis Spinal Cord Compression
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Design and Computational Modeling of a Modular, Compliant Robotic Assembly for Human Lumbar Unit and Spinal Cord Assistance.

Scientific reports Oct 31, 2017
Wearable soft robotic systems are enabling safer human-robot interaction and are proving to be instrumental for biomedical rehabilitation. In this manuscript, we propose a novel, modular, wearable robotic device for human (lumbar) spine assistance th...
Nonlinear Dynamics Range of Motion, Articular Vacuum Movement Humans Equipment Design Finite Element Analysis Spinal Cord Diseases Computer Simulation Lumbar Vertebrae Self-Help Devices Biomechanical Phenomena Models, Biological Weight-Bearing Wearable Electronic Devices Materials Testing Rehabilitation Robotics
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Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jun 23, 2015
This study introduces the use of multivariate linear regression (MLR) and support vector regression (SVR) models to predict postoperative outcomes in a cohort of patients who underwent surgery for cervical spondylotic myelopathy (CSM). Currently, pre...
Cervical Vertebrae Male Linear Models Middle Aged Humans Spinal Cord Diseases Support Vector Machine Female Spondylosis Recovery of Function Aged Adult
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Prediction of Worse Functional Status After Surgery for Degenerative Cervical Myelopathy: A Machine Learning Approach.

Neurosurgery Feb 16, 2021
BACKGROUND: Surgical decompression for degenerative cervical myelopathy (DCM) is one of the mainstays of treatment, with generally positive outcomes. However, some patients who undergo surgery for DCM continue to show functional decline.
Predictive Value of Tests Functional Status Cervical Vertebrae Decompression, Surgical Spinal Cord Diseases Male Middle Aged Postoperative Complications Treatment Outcome Humans Machine Learning Prospective Studies Retrospective Studies Female Aged Adult
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