Displaying 1 - 22 of 22

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

Alexandra Grob, Markus Loibl, Amir Jamaludin, Sebastian Winklhofer, Jeremy C. T. Fairbank, Tamás Fekete, François Porchet, Anne F. Mannion
July 2022, pp 1 - 12
Supplement Article
First Online: 14 July 2022

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

Nathan Xie, Peter J. Wilson, Rajesh Reddy
January 2022, pp 1 - 7
Original Article
First Online: 28 January 2022

Announcement

July 2022, pp 1 - 1
Announcements
First Online: 16 July 2022

Artificial intelligence and spine imaging:

Alexander L. Hornung, Christopher M. Hornung, G. Michael Mallow, J. Nicolas Barajas, Alejandro A. Espinoza Orías, Fabio Galbusera, Hans-Joachim Wilke, Matthew Colman, Frank M. Phillips, Howard S. An, Dino Samartzis
January 2022, pp 1 - 15
Ideas and Technical Innovations
First Online: 27 January 2022

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

Frank Niemeyer, Annika Zanker, René Jonas, Youping Tao, Fabio Galbusera, Hans-Joachim Wilke
July 2022, pp 1 - 9
Supplement Article
First Online: 19 July 2022

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, Jeon-Hor Chen, Yan-Lin Liu, An-Chi Wang, Jie-Yu Yang, Wei-Cheng Yeh, Chiu-Shih Cheng, Li-Kuang Chen, Min-Ying Su
January 2022, pp 1 - 9
Original Article
First Online: 28 January 2022

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

Lagerstrand Kerstin, Hebelka Hanna, Brisby Helena
December 2021, pp 1 - 8
Original Article
First Online: 02 December 2021

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

Tomaž Vrtovec, Bulat Ibragimov
March 2022, pp 1 - 15
Supplement Article
First Online: 12 March 2022

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, Gabriel T. A. Johnson, Aaron J. Fields, Roland Krug, Adam R. Ferguson, Alan R. Hargens, Conor W. O’Neill, Jeffrey C. Lotz, Jeannie F. Bailey
March 2022, pp 1 - 11
Supplement Article
First Online: 25 March 2022

Artificial intelligence in spine care: current applications and future utility

Alexander L. Hornung, Christopher M. Hornung, G. Michael Mallow, J. Nicolás Barajas, Augustus Rush, Arash J. Sayari, Fabio Galbusera, Hans-Joachim Wilke, Matthew Colman, Frank M. Phillips, Howard S. An, Dino Samartzis
March 2022, pp 1 - 25
Review Article
First Online: 27 March 2022

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

Bernard X. W. Liew, Francisco M. Kovacs, David Rügamer, Ana Royuela
March 2022, pp 1 - 10
Original Article
First Online: 30 March 2022

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

Chi-Hung Weng, Yu-Jui Huang, Chen-Ju Fu, Yu-Cheng Yeh, Chao-Yuan Yeh, Tsung-Ting Tsai
April 2022, pp 1 - 12
Original Article
First Online: 02 April 2022

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

Samuel S. Rudisill, Alexander L. Hornung, J. Nicolás Barajas, Jack J. Bridge, G. Michael Mallow, Wylie Lopez, Arash J. Sayari, Philip K. Louie, Garrett K. Harada, Youping Tao, Hans-Joachim Wilke, Matthew W. Colman, Frank M. Phillips, Howard S. An, Dino Samartzis
May 2022, pp 1 - 11
Supplement Article
First Online: 11 May 2022

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

Danis Alukaev, Semen Kiselev, Tamerlan Mustafaev, Ahatov Ainur, Bulat Ibragimov, Tomaž Vrtovec
May 2022, pp 1 - 10
Supplement Article
First Online: 21 May 2022

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, Christina Caspari, Steffen Drange, Marcel Dreischarf, Jean-Charles Le Huec, Michael Putzier, Jörg Franke
July 2022, pp 1 - 9
Supplement Article
First Online: 07 July 2022

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

Raphael Mourad, Serhii Kolisnyk, Yurii Baiun, Alessandra Falk, Titenkov Yuriy, Frolov Valerii, Aleksey Kopeev, Olga Suldina, Andrey Pospelov, Jack Kim, Andrej Rusakov, Darren R. Lebl
July 2022, pp 1 - 7
Supplement Article
First Online: 08 July 2022

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

Dino Samartzis, Fabio Galbusera, Hans-Joachim Wilke
July 2022, pp 1 - 2
Editorial
First Online: 13 July 2022

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

D. Müller, D. Haschtmann, T. F. Fekete, F. Kleinstück, R. Reitmeir, M. Loibl, D. O’Riordan, F. Porchet, D. Jeszenszky, A. F. Mannion
July 2022, pp 1 - 12
Supplement Article
First Online: 14 July 2022

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

Akash A. Shah, Sai K. Devana, Changhee Lee, Amador Bugarin, Elizabeth L. Lord, Arya N. Shamie, Don Y. Park, Mihaela van der Schaar, Nelson F. SooHoo
August 2022, Volume 31, Issue 8, pp 1952 - 1959
Original Article
First Online: 15 August 2021

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

Jason Pui Yin Cheung, Xihe Kuang, Marcus Kin Long Lai, Kenneth Man-Chee Cheung, Jaro Karppinen, Dino Samartzis, Honghan Wu, Fengdong Zhao, Zhaomin Zheng, Teng Zhang
August 2022, Volume 31, Issue 8, pp 1960 - 1968
Original Article
First Online: 17 October 2021

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

Yu Sun, Yaozhong Xing, Zian Zhao, Xianglong Meng, Gang Xu, Yong Hai
August 2022, Volume 31, Issue 8, pp 1969 - 1978
Original Article
First Online: 30 October 2021

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

Vahid Abdollah, Eric C. Parent, Samin Dolatabadi, Erica Marr, Keith Wachowicz, Michele Battié
August 2022, Volume 31, Issue 8, pp 1979 - 1991
Original Article
First Online: 30 October 2021