Works matching IS 09406719 AND DT 2022 AND VI 31 AND IP 8
Results: 22
Announcement.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2165, doi. 10.1007/s00586-022-07328-2
- Publication type:
- Article
An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles.
- Published in:
- 2022
- By:
- Publication type:
- journal article
Artificial intelligence, big data and precision spine care: a trend or the holy grail?
- Published in:
- 2022
- By:
- Publication type:
- Editorial
External validation of the deep learning system "SpineNet" for grading radiological features of degeneration on MRIs of the lumbar spine.
- Published in:
- 2022
- By:
- Publication type:
- journal article
Can artificial intelligence support or even replace physicians in measuring sagittal balance? A validation study on preoperative and postoperative full spine images of 170 patients.
- Published in:
- 2022
- By:
- Publication type:
- journal article
Performance of hybrid artificial intelligence in determining candidacy for lumbar stenosis surgery.
- Published in:
- 2022
- By:
- Publication type:
- journal article
Development of a machine-learning based model for predicting multidimensional outcome after surgery for degenerative disorders of the spine.
- Published in:
- 2022
- By:
- Publication type:
- journal article
A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2115, doi. 10.1007/s00586-022-07245-4
- By:
- Publication type:
- Article
Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2104, doi. 10.1007/s00586-022-07238-3
- By:
- Publication type:
- Article
Automatic recognition of whole-spine sagittal alignment and curvature analysis through a deep learning technique.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2092, doi. 10.1007/s00586-022-07189-9
- By:
- Publication type:
- Article
Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck pain.
- Published in:
- 2022
- By:
- Publication type:
- journal article
Artificial intelligence in spine care: current applications and future utility.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2057, doi. 10.1007/s00586-022-07176-0
- By:
- Publication type:
- Article
Using hierarchical unsupervised learning to integrate and reduce multi-level and multi-paraspinal muscle MRI data in relation to low back pain.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2046, doi. 10.1007/s00586-022-07169-z
- By:
- Publication type:
- Article
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2031, doi. 10.1007/s00586-022-07155-5
- By:
- Publication type:
- Article
A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2022, doi. 10.1007/s00586-022-07121-1
- By:
- Publication type:
- Article
Artificial intelligence and spine imaging: limitations, regulatory issues and future direction.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2007, doi. 10.1007/s00586-021-07108-4
- By:
- Publication type:
- Article
Use of machine learning to model surgical decision-making in lumbar spine surgery.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 2000, doi. 10.1007/s00586-021-07104-8
- By:
- Publication type:
- Article
Identification of potentially painful disc fissures in magnetic resonance images using machine-learning modelling.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 1992, doi. 10.1007/s00586-021-07066-x
- By:
- Publication type:
- Article
Use of machine learning to select texture features in investigating the effects of axial loading on T<sub>2</sub>-maps from magnetic resonance imaging of the lumbar discs.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 1979, doi. 10.1007/s00586-021-07036-3
- By:
- Publication type:
- Article
Comparison of manual versus automated measurement of Cobb angle in idiopathic scoliosis based on a deep learning keypoint detection technology.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 1969, doi. 10.1007/s00586-021-07025-6
- By:
- Publication type:
- Article
Learning-based fully automated prediction of lumbar disc degeneration progression with specified clinical parameters and preliminary validation.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 1960, doi. 10.1007/s00586-021-07020-x
- By:
- Publication type:
- Article
Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion.
- Published in:
- European Spine Journal, 2022, v. 31, n. 8, p. 1952, doi. 10.1007/s00586-021-06961-7
- By:
- Publication type:
- Article