Volume 31, Issue 8

Search all European Spine Journal articles

August 2022

The Spine and Artificial Intelligence

22 articles in this issue

Artificial intelligence, big data and precision spine care: a trend or the holy grail?
Dino Samartzis
Fabio Galbusera
Hans-Joachim Wilke
Editorial 13 July 2022 Pages: 1941 - 1942
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
Priyanka Grover
Jakob Siebenwirth
Jörg Franke
Supplement article 07 July 2022 Pages: 1943 - 1951
Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion
Akash A. Shah
Sai K. Devana
Nelson F. SooHoo
Original Article 15 August 2021 Pages: 1952 - 1959
Learning-based fully automated prediction of lumbar disc degeneration progression with specified clinical parameters and preliminary validation
Jason Pui Yin Cheung
Xihe Kuang
Teng Zhang
Original Article 17 October 2021 Pages: 1960 - 1968
Comparison of manual versus automated measurement of Cobb angle in idiopathic scoliosis based on a deep learning keypoint detection technology
Yu Sun
Yaozhong Xing
Yong Hai
Original Article Open access 30 October 2021 Pages: 1969 - 1978
Use of machine learning to select texture features in investigating the effects of axial loading on T₂-maps from magnetic resonance imaging of the lumbar discs
Vahid Abdollah
Eric C. Parent
Michele Battié
Original Article 30 October 2021 Pages: 1979 - 1991
Identification of potentially painful disc fissures in magnetic resonance images using machine-learning modelling
Kerstin Lagerstrand
Hanna Hebelka
Helena Brisby
Original Article Open access 02 December 2021 Pages: 1992 - 1999
Use of machine learning to model surgical decision-making in lumbar spine surgery
Nathan Xie
Peter J. Wilson
Rajesh Reddy
Original Article 28 January 2022 Pages: 2000 - 2006
Artificial intelligence and spine imaging: limitations, regulatory issues and future direction
Alexander L. Hornung
Christopher M. Hornung
Dino Samartzis
Ideas and Technical Innovations 27 January 2022 Pages: 2007 - 2021
A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet
Lee-Ren Yeh
Yang Zhang
Min-Ying Su
Original Article 28 January 2022 Pages: 2022 - 2030
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation
Tomaž Vrtovec
Bulat Ibragimov
Supplement article 12 March 2022 Pages: 2031 - 2045
Using hierarchical unsupervised learning to integrate and reduce multi-level and multi-paraspinal muscle MRI data in relation to low back pain
Abel Torres-Espin
Anastasia Keller
Jeannie F. Bailey
Supplement article Open access 25 March 2022 Pages: 2046 - 2056
Artificial intelligence in spine care: current applications and future utility
Alexander L. Hornung
Christopher M. Hornung
Dino Samartzis
Review Article 27 March 2022 Pages: 2057 - 2081
Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck pain
Bernard X. W. Liew
Francisco M. Kovacs
Ana Royuela
Original Article Open access 30 March 2022 Pages: 2082 - 2091
Automatic recognition of whole-spine sagittal alignment and curvature analysis through a deep learning technique
Chi-Hung Weng
Yu-Jui Huang
Tsung-Ting Tsai
Original Article Open access 02 April 2022 Pages: 2092 - 2103
Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion
Samuel S. Rudisill
Alexander L. Hornung
Dino Samartzis
Supplement article 11 May 2022 Pages: 2104 - 2114
A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation
Danis Alukaev
Semen Kiselev
Tomaž Vrtovec
Supplement article 21 May 2022 Pages: 2115 - 2124
Development of a machine-learning based model for predicting multidimensional outcome after surgery for degenerative disorders of the spine
D. Müller
D. Haschtmann
A. F. Mannion
Supplement article 14 July 2022 Pages: 2125 - 2136
External validation of the deep learning system “SpineNet” for grading radiological features of degeneration on MRIs of the lumbar spine
Alexandra Grob
Markus Loibl
Anne F. Mannion
Supplement article 14 July 2022 Pages: 2137 - 2148
Performance of hybrid artificial intelligence in determining candidacy for lumbar stenosis surgery
Raphael Mourad
Serhii Kolisnyk
Darren R. Lebl
Supplement article Open access 08 July 2022 Pages: 2149 - 2155
An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles
Frank Niemeyer
Annika Zanker
Hans-Joachim Wilke
Supplement article 19 July 2022 Pages: 2156 - 2164
Announcement

Announcements 16 July 2022 Pages: 2165 - 2165

Volume 31, Issue 8

Artificial intelligence, big data and precision spine care: a trend or the holy grail?

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

Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion

Learning-based fully automated prediction of lumbar disc degeneration progression with specified clinical parameters and preliminary validation

Comparison of manual versus automated measurement of Cobb angle in idiopathic scoliosis based on a deep learning keypoint detection technology

Use of machine learning to select texture features in investigating the effects of axial loading on T₂-maps from magnetic resonance imaging of the lumbar discs

Identification of potentially painful disc fissures in magnetic resonance images using machine-learning modelling

Use of machine learning to model surgical decision-making in lumbar spine surgery

Artificial intelligence and spine imaging: limitations, regulatory issues and future direction

A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet

Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation

Using hierarchical unsupervised learning to integrate and reduce multi-level and multi-paraspinal muscle MRI data in relation to low back pain

Artificial intelligence in spine care: current applications and future utility

Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck pain

Automatic recognition of whole-spine sagittal alignment and curvature analysis through a deep learning technique

Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion

A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation

Development of a machine-learning based model for predicting multidimensional outcome after surgery for degenerative disorders of the spine

External validation of the deep learning system “SpineNet” for grading radiological features of degeneration on MRIs of the lumbar spine

Performance of hybrid artificial intelligence in determining candidacy for lumbar stenosis surgery

An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles

Announcement

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