Cervical Vertebrae

CURRENT NEURAL NETWORKS DEMONSTRATE POTENTIAL IN AUTOMATED CERVICAL VERTEBRAL MATURATION STAGE CLASSIFICATION BASED ON LATERAL CEPHALOGRAMS.

The journal of evidence-based dental practice 38448121

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Neural networks for classification of cervical vertebrae maturation: a systematic review. Mathew R, Palatinus S, Padala S, Alshehri A, Awadh W, Bhandi S, Thomas J, Patil S. Angle Orthod. 2022 Nov 1;92(6):7...

Cervical Vertebrae Humans Neural Networks, Computer Systematic Reviews as Topic

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A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults.

Journal of applied clinical medical physics 38269650

PURPOSE: To evaluate the 3D U-Net model for automatic segmentation and measurement of cervical spine structures using magnetic resonance (MR) images of healthy adults.

Adult Cervical Vertebrae Deep Learning Humans Magnetic Resonance Imaging Retrospective Studies Spinal Cord

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Deep Learning Prediction of Cervical Spine Surgery Revision Outcomes Using Standard Laboratory and Operative Variables.

World neurosurgery 38408699

BACKGROUND: Cervical spine procedures represent a major proportion of all spine surgery. Mitigating the revision rate following cervical procedures requires careful patient selection. While complication risk has successfully been predicted, revision ...

Adult Aged Cervical Vertebrae Cohort Studies Decompression, Surgical Deep Learning Female Humans Male Middle Aged Postoperative Complications Reoperation Spinal Fusion Treatment Outcome

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Automatic Tracking of Hyoid Bone Displacement and Rotation Relative to Cervical Vertebrae in Videofluoroscopic Swallow Studies Using Deep Learning.

Journal of imaging informatics in medicine 38383805

The hyoid bone displacement and rotation are critical kinematic events of the swallowing process in the assessment of videofluoroscopic swallow studies (VFSS). However, the quantitative analysis of such events requires frame-by-frame manual annotatio...

Automation Cervical Vertebrae Computer Simulation Datasets as Topic Deep Learning Deglutition Fluoroscopy Humans Hyoid Bone Image Processing, Computer-Assisted Rotation Video Recording

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Optimal Implant Sizing Using Machine Learning Is Associated With Increased Range of Motion After Cervical Disk Arthroplasty.

Neurosurgery 38551347

BACKGROUND AND OBJECTIVES: Cervical disk arthroplasty (CDA) offers the advantage of motion preservation in the treatment of focal cervical pathology. At present, implant sizing is performed using subjective tactile feedback and imaging of trial cages...

Adult Aged Arthroplasty Cervical Vertebrae Female Humans Intervertebral Disc Intervertebral Disc Degeneration Machine Learning Male Middle Aged Prostheses and Implants Range of Motion, Articular Retrospective Studies Treatment Outcome

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Machine learning models for classifying non-specific neck pain using craniocervical posture and movement.

Musculoskeletal science & practice 38527390

OBJECTIVE: Physical therapists and clinicians commonly confirm craniocervical posture (CCP), cervical retraction, and craniocervical flexion as screening tests because they contribute to non-specific neck pain (NSNP). We compared the predictive perfo...

Adult Biomechanical Phenomena Cervical Vertebrae Cross-Sectional Studies Female Humans Machine Learning Male Middle Aged Movement Neck Pain Posture

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Deep Learning Imaging Reconstruction Algorithm for Carotid Dual Energy CT Angiography: Opportunistic Evaluation of Cervical Intervertebral Discs-A Preliminary Study.

Journal of imaging informatics in medicine 38429560

Thus, the aim of this study is to evaluate the performance of deep learning imaging reconstruction (DLIR) algorithm in different image sets derived from carotid dual-energy computed tomography angiography (DECTA) for evaluating cervical intervertebra...

Adult Aged Algorithms Carotid Arteries Cervical Vertebrae Computed Tomography Angiography Deep Learning Female Humans Image Processing, Computer-Assisted Intervertebral Disc Male Middle Aged Retrospective Studies

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Clinical efficacy of motion-insensitive imaging technique with deep learning reconstruction to improve image quality in cervical spine MR imaging.

The British journal of radiology 38366622

OBJECTIVE: To demonstrate that a T2 periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) technique using deep learning reconstruction (DLR) will provide better image quality and decrease image noise.

Artifacts Cervical Vertebrae Deep Learning Humans Image Enhancement Magnetic Resonance Imaging Treatment Outcome

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Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.

Journal of imaging informatics in medicine 38671337

The aim of this study was to investigate whether super-resolution deep learning reconstruction (SR-DLR) is superior to conventional deep learning reconstruction (DLR) with respect to interobserver agreement in the evaluation of neuroforaminal stenosi...

Adult Aged Aged, 80 and over Cervical Vertebrae Deep Learning Female Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Observer Variation Retrospective Studies Signal-To-Noise Ratio Spinal Stenosis

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Unsupervised machine learning for clustering forward head posture, protraction and retraction movement patterns based on craniocervical angle data in individuals with nonspecific neck pain.

BMC musculoskeletal disorders 38741076

OBJECTIVES: The traditional understanding of craniocervical alignment emphasizes specific anatomical landmarks. However, recent research has challenged the reliance on forward head posture as the primary diagnostic criterion for neck pain. An advance...

Adult Cervical Vertebrae Cluster Analysis Female Head Head Movements Humans Male Middle Aged Movement Neck Pain Pain Measurement Posture Unsupervised Machine Learning Young Adult

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CURRENT NEURAL NETWORKS DEMONSTRATE POTENTIAL IN AUTOMATED CERVICAL VERTEBRAL MATURATION STAGE CLASSIFICATION BASED ON LATERAL CEPHALOGRAMS.

A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults.

Deep Learning Prediction of Cervical Spine Surgery Revision Outcomes Using Standard Laboratory and Operative Variables.

Automatic Tracking of Hyoid Bone Displacement and Rotation Relative to Cervical Vertebrae in Videofluoroscopic Swallow Studies Using Deep Learning.

Optimal Implant Sizing Using Machine Learning Is Associated With Increased Range of Motion After Cervical Disk Arthroplasty.

Machine learning models for classifying non-specific neck pain using craniocervical posture and movement.

Deep Learning Imaging Reconstruction Algorithm for Carotid Dual Energy CT Angiography: Opportunistic Evaluation of Cervical Intervertebral Discs-A Preliminary Study.

Clinical efficacy of motion-insensitive imaging technique with deep learning reconstruction to improve image quality in cervical spine MR imaging.

Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.

Unsupervised machine learning for clustering forward head posture, protraction and retraction movement patterns based on craniocervical angle data in individuals with nonspecific neck pain.

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