دسترسی یکساله به بیش از ۵۰۰ ژورنال روز جهان موجود در سامانه
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Artificial intelligence, big data and precision spine care: a trend or the holy grail?
Dino Samartzis, Fabio Galbusera & Hans-Joachim Wilke
doi : 10.1007/s00586-022-07316-6
Volume 31, issue 8, August 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 & J?rg Franke
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
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 Zhe
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
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, Samin Dolatabadi, Erica Marr, Keith Wachowicz & Michele Battié
Identification of potentially painful disc fissures in magnetic resonance images using machine-learning modelling
Kerstin Lagerstrand, Hanna Hebelka & Helena Brisby
Use of machine learning to model surgical decision-making in lumbar spine surgery
Nathan Xie, Peter J. Wilson & Rajesh Reddy
Artificial intelligence and spine imaging: limitations, regulatory issues and future direction
Alexander L. Hornung, Christopher M. Hornung, G. Michael Mallow, J. Nicolas Barajas, Alejandro A. Espinoza Or?as, Fabio Galbusera, Hans-Joachim Wilke,
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
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation
Toma? Vrtovec & Bulat Ibragimov
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
Artificial intelligence in spine care: current applications and future utility
Alexander L. Hornung, Christopher M. Hornung, G. Michael Mallow, J. Nicol?s Barajas, Augustus Rush III, Arash J. Sayari, Fabio Galbusera, Hans-Joachim
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
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
Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion
Samuel S. Rudisill, Alexander L. Hornung, J. Nicol?s Barajas, Jack J. Bridge, G. Michael Mallow, Wylie Lopez, Arash J. Sayari, Philip K. Louie, Garret
A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation
Danis Alukaev, Semen Kiselev, Tamerlan Mustafaev, Ahatov Ainur, Bulat Ibragimov & Toma? Vrtovec
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
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, Tam?s Fekete, François Porchet & Anne F. Mannion
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
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
