Cervical Vertebrae

Assessing the Effect of Cervical Transcutaneous Spinal Stimulation With an Upper Limb Robotic Exoskeleton and Surface Electromyography.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 39088505

Transcutaneous spinal stimulation (TSS) is a promising rehabilitative intervention to restore motor function and coordination for individuals with spinal cord injury (SCI). The effects of TSS are most commonly assessed by evaluating muscle response t...

Adult Algorithms Biomechanical Phenomena Cervical Cord Cervical Vertebrae Electromyography Exoskeleton Device Female Healthy Volunteers Humans Male Muscle, Skeletal Robotics Spinal Cord Injuries Spinal Cord Stimulation Torque Transcutaneous Electric Nerve Stimulation Upper Extremity Young Adult

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Comparative analysis of deep-learning-based bone age estimation between whole lateral cephalometric and the cervical vertebral region in children.

The Journal of clinical pediatric dentistry 39087230

Bone age determination in individuals is important for the diagnosis and treatment of growing children. This study aimed to develop a deep-learning model for bone age estimation using lateral cephalometric radiographs (LCRs) and regions of interest (...

Adolescent Age Determination by Skeleton Cephalometry Cervical Vertebrae Child Child, Preschool Deep Learning Female Humans Male Retrospective Studies

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Artificial intelligence in predicting postoperative heterotopic ossification following anterior cervical disc replacement.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 39073460

OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict high-grade heterotopic ossification (HO) following Anterior cervical disc replacement (ACDR).

Adult Artificial Intelligence Cervical Vertebrae Female Humans Intervertebral Disc Degeneration Male Middle Aged Ossification, Heterotopic Postoperative Complications Retrospective Studies Total Disc Replacement

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Precise Localization for Anatomo-Physiological Hallmarks of the Cervical Spine by Using Neural Memory Ordinary Differential Equation.

International journal of neural systems 39049777

In the evaluation of cervical spine disorders, precise positioning of anatomo-physiological hallmarks is fundamental for calculating diverse measurement metrics. Despite the fact that deep learning has achieved impressive results in the field of keyp...

Cervical Vertebrae Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer

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Assessment of image quality and diagnostic accuracy for cervical spondylosis using T2w-STIR sequence with a deep learning-based reconstruction approach.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 39007984

OBJECTIVES: To investigate potential of enhancing image quality, maintaining interobserver consensus, and elevating disease diagnostic efficacy through the implementation of deep learning-based reconstruction (DLR) processing in 3.0 T cervical spine ...

Adult Aged Cervical Vertebrae Deep Learning Female Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Spondylosis

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Developmental and Validation of Machine Learning Model for Prediction Complication After Cervical Spine Metastases Surgery.

Clinical spine surgery 39206957

STUDY DESIGN: This is a retrospective cohort study utilizing machine learning to predict postoperative complications in cervical spine metastases surgery.

Adult Aged Cervical Vertebrae Female Humans Machine Learning Male Middle Aged Postoperative Complications Retrospective Studies Spinal Neoplasms

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A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 39198286

STUDY DESIGN: Cross-sectional Database Study.

Adult Aged Cervical Cord Cervical Vertebrae Cross-Sectional Studies Deep Learning Female Humans Magnetic Resonance Imaging Male Middle Aged Spinal Cord Injuries

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[How well does artificial intelligence detect fractures in the cervical spine on CT?].

Nederlands tijdschrift voor geneeskunde 39324421

OBJECTIVE: To compare diagnostic accuracy of artificial intelligence (AI) for cervical spine (C-spine) fracture detection on CT with attending radiologists.

Adult Aged Artificial Intelligence Cervical Vertebrae Female Humans Male Middle Aged Retrospective Studies Sensitivity and Specificity Spinal Fractures Tomography, X-Ray Computed

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Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement.

Progress in orthodontics 39279025

OBJECTIVES: This study aimed to assess the accuracy of machine learning (ML) models with feature selection technique in classifying cervical vertebral maturation stages (CVMS). Consensus-based datasets were used for models training and evaluation for...

Adolescent Age Determination by Skeleton Cephalometry Cervical Vertebrae Child Datasets as Topic Female Humans Machine Learning Male Observer Variation Support Vector Machine

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Machine-learning-based prediction by stacking ensemble strategy for surgical outcomes in patients with degenerative cervical myelopathy.

Journal of orthopaedic surgery and research 39227869

BACKGROUND: Machine learning (ML) is extensively employed for forecasting the outcome of various illnesses. The objective of the study was to develop ML based classifiers using a stacking ensemble strategy to predict the Japanese Orthopedic Associati...

Aged Cervical Vertebrae Female Follow-Up Studies Forecasting Humans Machine Learning Male Middle Aged Recovery of Function Spinal Cord Diseases Support Vector Machine Treatment Outcome

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Explore the latest research on artificial intelligence and machine learning in medicine.

Assessing the Effect of Cervical Transcutaneous Spinal Stimulation With an Upper Limb Robotic Exoskeleton and Surface Electromyography.

Comparative analysis of deep-learning-based bone age estimation between whole lateral cephalometric and the cervical vertebral region in children.

Artificial intelligence in predicting postoperative heterotopic ossification following anterior cervical disc replacement.

Precise Localization for Anatomo-Physiological Hallmarks of the Cervical Spine by Using Neural Memory Ordinary Differential Equation.

Assessment of image quality and diagnostic accuracy for cervical spondylosis using T2w-STIR sequence with a deep learning-based reconstruction approach.

Developmental and Validation of Machine Learning Model for Prediction Complication After Cervical Spine Metastases Surgery.

A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification.

[How well does artificial intelligence detect fractures in the cervical spine on CT?].

Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement.

Machine-learning-based prediction by stacking ensemble strategy for surgical outcomes in patients with degenerative cervical myelopathy.

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