AIMC Topic: Cervical Vertebrae
Clear Filters Showing 61 to 70 of 129 articles
Using Machine Learning and Deep Learning Algorithms to Predict Postoperative Outcomes Following Anterior Cervical Discectomy and Fusion.
Clinical spine surgery
Mar 13, 2023
STUDY DESIGN: A retrospective cohort study from a multisite academic medical center.
Deep convolutional neural network-the evaluation of cervical vertebrae maturation.
Oral radiology
Mar 9, 2023
OBJECTIVES: This study aimed to automatically determine the cervical vertebral maturation (CVM) processes on lateral cephalometric radiograph images using a proposed deep learning-based convolutional neural network (CNN) model and to test the success...
Deep Learning Algorithm for Identifying Cervical Cord Compression Due to Degenerative Canal Stenosis on Radiography.
Spine
Feb 10, 2023
STUDY DESIGN: Cross-sectional study.
Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification.
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
Feb 6, 2023
PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectations. Deep learning, a model that finds patterns in large samples of data, outperform traditional statistical methods in making predictions. This study...
Robot-Assisted Percutaneous Lag Screw Osteosynthesis for C1 Lateral Mass Fractures: Case Series and Technical Note.
World neurosurgery
Feb 3, 2023
BACKGROUND: C1 lateral mass fractures (LMF) cause abnormal alignment of the upper cervical joints. Conservatively treated cases can develop into late cock-robin junction, requiring a reconstructive surgical procedure of the occipitocervical junction....
Sagittal intervertebral rotational motion: a deep learning-based measurement on flexion-neutral-extension cervical lateral radiographs.
BMC musculoskeletal disorders
Nov 8, 2022
BACKGROUND: The analysis of sagittal intervertebral rotational motion (SIRM) can provide important information for the evaluation of cervical diseases. Deep learning has been widely used in spinal parameter measurements, however, there are few invest...
Percutaneous Fixation of Levine-Edwards Type II Hangman's Fractures Under the Guidance of an Orthopedic Robot.
Orthopedics
Nov 7, 2022
There is no consensus regarding the optimal treatment for unstable hangman's fractures. Conservative treatment, although time-consuming and associated with complications such as nonunion, neck stiffness, and pseudarthrosis formation, is still preferr...
Artificial intelligence-based algorithm for cervical vertebrae maturation stage assessment.
Orthodontics & craniofacial research
Oct 30, 2022
OBJECTIVE: The aim of this study was to develop an artificial intelligence (AI) algorithm to automatically and accurately determine the stage of cervical vertebra maturation (CVM) with the main purpose being to eliminate the human error factor.
Deep-learning-reconstructed high-resolution 3D cervical spine MRI for foraminal stenosis evaluation.
Skeletal radiology
Oct 21, 2022
OBJECTIVE: To compare standard-of-care two-dimensional MRI acquisitions of the cervical spine with those from a single three-dimensional MRI acquisition, reconstructed using a deep-learning-based reconstruction algorithm. We hypothesized that the imp...
Comparison of Deep Learning and Classical Machine Learning Algorithms to Predict Postoperative Outcomes for Anterior Cervical Discectomy and Fusion Procedures With State-of-the-art Performance.
Spine
Sep 21, 2022
STUDY DESIGN: Retrospective cohort.
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