AIMC Topic: Spondylosis
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Automated detection of cervical ossification of the posterior longitudinal ligament in plain lateral radiographs of the cervical spine using a convolutional neural network.
Scientific reports
Jun 16, 2021
Cervical ossification of the posterior longitudinal ligament (OPLL) is a contributing factor to spinal cord injury or trauma-induced myelopathy in the elderly. To reduce the incidence of these traumas, it is essential to diagnose OPLL at an early sta...
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...
A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning.
Scientific reports
Nov 27, 2018
Cervical spondylosis (CS), a most common orthopedic diseases, is mainly identified by the doctor's judgment from the clinical symptoms and cervical change provided by expensive instruments in hospital. Owing to the development of the surface electrom...
Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning.
International journal of neural systems
Jul 16, 2017
In this study, we propose an automated framework that combines diffusion tensor imaging (DTI) metrics with machine learning algorithms to accurately classify control groups and groups with cervical spondylotic myelopathy (CSM) in the spinal cord. The...
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...
Use of Machine Learning and Artificial Intelligence to Drive Personalized Medicine Approaches for Spine Care.
World neurosurgery
Aug 1, 2020
Personalized medicine is a new paradigm of healthcare in which interventions are based on individual patient characteristics rather than on "one-size-fits-all" guidelines. As epidemiological datasets continue to burgeon in size and complexity, powerf...
[A Wearable System for Cervical Spondylosis Prevention Based on Artificial Intelligence].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Jan 8, 2020
Accompanied by changes in modern work and lifestyle, the incidence of cervical spondylosis has increased year by year. In view of the fact long-term fixed posture of the head and neck is one of the main causes of cervical spondylosis, a set of wearab...
Pedicle screw placement accuracy of bone-mounted miniature robot system.
Medicine
Jan 1, 2017
This article describes factors affecting the accuracy of transpedicle screw placements performed with the Renaissance robot-guided system and reviews the relevant literature. Between January 2013 and January 2015, Renaissance robot-guided spinal surg...
Quantitative assessment of hand motor function in cervical spinal disorder patients using target tracking tests.
Journal of rehabilitation research and development
Jan 1, 2016
Cervical spondylotic myelopathy (CSM) is a chronic spinal disorder in the neck region. Its prevalence is growing rapidly in developed nations, creating a need for an objective assessment tool. This article introduces a system for quantifying hand mot...
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