AIMC Topic: Cervical Vertebrae
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Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT.
European radiology
Jan 11, 2024
OBJECTIVES: To compare diagnostic accuracy of a deep learning artificial intelligence (AI) for cervical spine (C-spine) fracture detection on CT to attending radiologists and assess which undetected fractures were injuries in need of stabilising ther...
Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography.
BMC medical imaging
Nov 28, 2023
PURPOSES: To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical spine on computed tomography (CT).
Aided diagnosis of cervical spondylotic myelopathy using deep learning methods based on electroencephalography.
Medical engineering & physics
Nov 7, 2023
Cervical spondylotic myelopathy (CSM) is the most severe type of cervical spondylosis. It is challenging to achieve early diagnosis with current clinical diagnostic tools. In this paper, we propose an end-to-end deep learning approach for early diagn...
CURRENT NEURAL NETWORKS DEMONSTRATE POTENTIAL IN AUTOMATED CERVICAL VERTEBRAL MATURATION STAGE CLASSIFICATION BASED ON LATERAL CEPHALOGRAMS.
The journal of evidence-based dental practice
Sep 28, 2023
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...
Automatic evaluation of atlantoaxial subluxation in rheumatoid arthritis by a deep learning model.
Arthritis research & therapy
Sep 25, 2023
BACKGROUND: This work aims to develop a deep learning model, assessing atlantoaxial subluxation (AAS) in rheumatoid arthritis (RA), which can often be ambiguous in clinical practice.
The psc-CVM assessment system: A three-stage type system for CVM assessment based on deep learning.
BMC oral health
Aug 12, 2023
BACKGROUND: Many scholars have proven cervical vertebral maturation (CVM) method can predict the growth and development and assist in choosing the best time for treatment. However, assessing CVM is a complex process. The experience and seniority of t...
Measurement of interspinous motion in dynamic cervical radiographs using a deep learning-based segmentation model.
Journal of neurosurgery. Spine
Jun 9, 2023
OBJECTIVE: Interspinous motion (ISM) is a representative method for evaluating the functional fusion status following anterior cervical discectomy and fusion (ACDF) surgery, but the associated measuring difficulty and potential errors in the clinical...
Image quality and lesion detectability of deep learning-accelerated T2-weighted Dixon imaging of the cervical spine.
Skeletal radiology
May 26, 2023
OBJECTIVES: To validate the subjective image quality and lesion detectability of deep learning-accelerated Dixon (DL-Dixon) imaging of the cervical spine compared with routine Dixon imaging.
Clinical application of spinal robot in cervical spine surgery: safety and accuracy of posterior pedicle screw placement in comparison with conventional freehand methods.
Neurosurgical review
May 11, 2023
The novel robot-assisted (RA) technique has been utilized increasingly to improve the accuracy of cervical pedicle screw placement. Although the clinical application of the RA technique has been investigated in several case series and comparative stu...
AggregateNet: A deep learning model for automated classification of cervical vertebrae maturation stages.
Orthodontics & craniofacial research
Mar 13, 2023
OBJECTIVE: A study of supervised automated classification of the cervical vertebrae maturation (CVM) stages using deep learning (DL) network is presented. A parallel structured deep convolutional neural network (CNN) with a pre-processing layer that ...
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