AIMC Topic: Cervical Vertebrae

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Deep learning algorithm to evaluate cervical spondylotic myelopathy using lateral cervical spine radiograph.

BMC neurology Apr 20, 2022
BACKGROUND: Deep learning (DL) is an advanced machine learning approach used in different areas such as image analysis, bioinformatics, and natural language processing. A convolutional neural network (CNN) is a representative DL model that is highly ...
Deep Learning Cervical Vertebrae Spinal Cord Diseases Spondylosis Humans Retrospective Studies
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Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes.

European radiology Mar 29, 2022
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) provides improved cervical spine MR images using a 1.5 T unit in the evaluation of degenerative changes without increasing imaging time.
Constriction, Pathologic Spinal Stenosis Observer Variation Deep Learning Magnetic Resonance Imaging Cervical Vertebrae Spinal Canal Humans Male Female Middle Aged Adult
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A deep learning algorithm to identify cervical ossification of posterior longitudinal ligaments on radiography.

Scientific reports Feb 8, 2022
The cervical ossification of the posterior longitudinal ligament (cOPLL) is sometimes misdiagnosed or overlooked on radiography. Thus, this study aimed to validate the diagnostic yield of our deep learning algorithm which diagnose the presence/absenc...
Humans Female Aged Deep Learning Image Interpretation, Computer-Assisted Radiography Male Ossification of Posterior Longitudinal Ligament Cervical Vertebrae Middle Aged Case-Control Studies
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Development of a multi-stage model for intelligent and quantitative appraising of skeletal maturity using cervical vertebras cone-beam CT images of Chinese girls.

International journal of computer assisted radiology and surgery Jan 4, 2022
PURPOSE: Nowadays, the integration of Artificial intelligence algorithms and quantified radiographic imaging-based diagnostic procedures is hailing amplified deliberation particularly in assessment of skeletal maturity. So we intend to formulate a lo...
Artificial Intelligence Female Reproducibility of Results Humans Cervical Vertebrae China Cone-Beam Computed Tomography Cephalometry
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Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy.

Journal of healthcare engineering Dec 17, 2021
In the past 10 years, the technology of percutaneous spine endoscopy has been continuously developed. The indications have expanded from simple lumbar disc herniation to various degenerative diseases of the cervical, thoracic, and lumbar spine. Tradi...
Spondylosis Deep Learning Humans Cervical Vertebrae Retrospective Studies Radiculopathy Endoscopy
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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...
Diskectomy Spinal Cord Diseases Image Interpretation, Computer-Assisted Radiculopathy Preoperative Care Predictive Value of Tests Cervical Vertebrae Spinal Fusion Adult Sensitivity and Specificity Male Deep Learning Magnetic Resonance Imaging Middle Aged Postoperative Complications Retrospective Studies Female Reproducibility of Results Humans
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Utility of machine learning algorithms in degenerative cervical and lumbar spine disease: a systematic review.

Neurosurgical review Sep 7, 2021
Machine learning is a rapidly evolving field that offers physicians an innovative and comprehensive mechanism to examine various aspects of patient data. Cervical and lumbar degenerative spine disorders are commonly age-related disease processes that...
Lumbar Vertebrae Spinal Diseases Humans Machine Learning Algorithms Cervical Vertebrae
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Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning.

Medical image analysis Aug 25, 2021
Judging swallowing kinematic impairments via videofluoroscopy represents the gold standard for the detection and evaluation of swallowing disorders. However, the efficiency and accuracy of such a biomechanical kinematic analysis vary significantly am...
Cervical Vertebrae Humans Neural Networks, Computer Machine Learning Algorithms Deep Learning
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Prediction of hand-wrist maturation stages based on cervical vertebrae images using artificial intelligence.

Orthodontics & craniofacial research Aug 17, 2021
OBJECTIVE: To predict the hand-wrist maturation stages based on the cervical vertebrae (CV) images, and to analyse the accuracy of the proposed algorithms.
Child Cephalometry Cervical Vertebrae Humans Artificial Intelligence Wrist Age Determination by Skeleton Bone Development
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Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions.

Scientific reports Aug 16, 2021
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantification of MFI requires time-consuming and rater-dependent manual segmentation techniques. A convolutional neural network (CNN) model was trained to se...
Adipose Tissue Organ Size Cervical Vertebrae Adult Datasets as Topic Image Processing, Computer-Assisted Automation Male Humans Body Mass Index Neck Muscles Observer Variation Deep Learning Female Anthropometry Magnetic Resonance Imaging Reproducibility of Results Adiposity Young Adult
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