Predictive Modeling of Outcomes After Traumatic and Nontraumatic Spinal Cord Injury Using Machine Learning: Review of Current Progress and Future Directions
Omar Khan, Jetan H. Badhiwala, Jamie R.F. Wilson, Fan Jiang, Allan R. Martin, Michael G. Fehlings
Neurospine. 2019;16(4):678-685.   Published online 2019 Dec 31     DOI: https://doi.org/10.14245/ns.1938390.195
Citations to this article as recorded by Crossref logo
Artificial intelligence in spinal deformity
Joash Suryavanshi, David Foley, Michael H. McCarthy
Journal of Orthopaedic Reports.2025; 4(1): 100358.     CrossRef
A deep learning-based hand motion classification for hand dysfunction assessment in cervical spondylotic myelopathy
Xiaodong Li, Ningbo Fei, Kinto Wan, Jason Pui Yin Cheung, Yong Hu
Biomedical Signal Processing and Control.2025; 99: 106884.     CrossRef
Predicting morbidity and mortality after surgery for isolated traumatic spinal injury without spinal cord injury
Ahmad Mohammad Ismail, Maximilian Peter Forssten, Yang Cao, Ioannis Ioannidis, Sebastian Peter Forssten, Babak Sarani, Shahin Mohseni
Journal of Trauma and Acute Care Surgery.2025; 98(3): 476.     CrossRef
SCIseg: Automatic Segmentation of Intramedullary Lesions in Spinal Cord Injury on T2-weighted MRI Scans
Enamundram Naga Karthik, Jan Valošek, Andrew C. Smith, Dario Pfyffer, Simon Schading-Sassenhausen, Lynn Farner, Kenneth A. Weber, Patrick Freund, Julien Cohen-Adad
Radiology: Artificial Intelligence.2025;[Epub]     CrossRef
Artificial intelligence in degenerative cervical disease: A systematic review of MRI-based diagnostic models
Qian Du, Xinxin Shao, Minbo Zhang, Guangru Cao
DIGITAL HEALTH.2025;[Epub]     CrossRef
The diagnostic and prognostic capability of artificial intelligence in spinal cord injury: A systematic review
Saran Singh Gill, Hariharan Subbiah Ponniah, Sho Giersztein, Rishi Miriyala Anantharaj, Srikar Reddy Namireddy, Joshua Killilea, DanieleS.C. Ramsay, Ahmed Salih, Ahkash Thavarajasingam, Daniel Scurtu, Dragan Jankovic, Salvatore Russo, Andreas Kramer, Sant
Brain and Spine.2025; 5: 104208.     CrossRef
Low Back Pain Among Health Sciences Undergraduates: Results Obtained from a Machine-Learning Analysis
Janan Abbas, Malik Yousef, Kamal Hamoud, Katherin Joubran
Journal of Clinical Medicine.2025; 14(6): 2046.     CrossRef
LncRNA TSIX knockdown restores spinal cord injury repair through miR-30a/SOCS3 axis
Zhimin Pan, Kai Huang, Nan Li, Pingguo Duan, Jiang Huang, Dong Yang, Zujue Cheng, Yoon Ha, Jinsoo Oh, Mengyun Yue, Xingen Zhu, Da He
Biotechnology and Genetic Engineering Reviews.2024; 40(2): 765.     CrossRef
Developing predictive models for surgical outcomes in patients with degenerative cervical myelopathy: a comparison of statistical and machine learning approaches
Jiajun Song, Jie Li, Rui Zhao, Xu Chu
The Spine Journal.2024; 24(1): 57.     CrossRef
Functional Outcome Prediction After Spinal Cord Injury Using Ensemble Machine Learning
Chihiro Kato, Osamu Uemura, Yasunori Sato, Tetsuya Tsuji
Archives of Physical Medicine and Rehabilitation.2024; 105(1): 95.     CrossRef
Decision Tree Analysis Accurately Predicts Discharge Destination After Spinal Cord Injury Rehabilitation
Chihiro Kato, Osamu Uemura, Yasunori Sato, Tetsuya Tsuji
Archives of Physical Medicine and Rehabilitation.2024; 105(1): 88.     CrossRef
Recent trends in spinal trauma management and research
Michael G. Fehlings, Harvinder Singh Chhabra
Journal of Clinical Orthopaedics and Trauma.2024; 49: 102351.     CrossRef
Multivariable Prediction Models for Traumatic Spinal Cord Injury: A Systematic Review
Ramtin Hakimjavadi, Shahin Basiratzadeh, Eugene K. Wai, Natalie Baddour, Stephen Kingwell, Wojtek Michalowski, Alexandra Stratton, Eve Tsai, Herna Viktor, Philippe Phan
Topics in Spinal Cord Injury Rehabilitation.2024; 30(1): 1.     CrossRef
Deep Learning-Based Prediction Model for Gait Recovery after a Spinal Cord Injury
Hyun-Joon Yoo, Kwang-Sig Lee, Bummo Koo, Chan-Woo Yong, Chae-Won Kim
Diagnostics.2024; 14(6): 579.     CrossRef
Virtual Analysis for Spinal Cord Injury Rehabilitation
Modigari Narendra, Pratik Mohanty, L Jani Anbarasi, Vinayakumar Ravi
The Open Biomedical Engineering Journal.2024;[Epub]     CrossRef
Early Prognostication of Critical Patients With Spinal Cord Injury
Guoxin Fan, Huaqing Liu, Sheng Yang, Libo Luo, Mao Pang, Bin Liu, Liangming Zhang, Lanqing Han, Limin Rong, Xiang Liao
Spine.2024; 49(11): 754.     CrossRef
Developing Machine Learning–Based Predictive Models for Hallux Valgus Recurrence Based on Measurements From Radiographs
Rui Zhao, Guobin Wang, Fengtan Li, Jinchan Wang, Yuan Zhang, Dong Li, Shen Liu, Jie Li, Jiajun Song, Fangyuan Wei, Chenguang Wang
Foot & Ankle International.2024; 45(9): 1000.     CrossRef
Prediction of gait recovery using machine learning algorithms in patients with spinal cord injury
Hyun-Joon Yoo, Bummo Koo, Chan-woo Yong, Kwang-Sig Lee
Medicine.2024; 103(23): e38286.     CrossRef
Predictive modeling of ambulatory outcomes after spinal cord injury using machine learning
Christina Draganich, Dustin Anderson, Grant J. Dornan, Mitch Sevigny, Jeffrey Berliner, Susan Charlifue, Abigail Welch, Andrew Smith
Spinal Cord.2024; 62(8): 446.     CrossRef
Orthopedic Frailty Score and adverse outcomes in patients with surgically managed isolated traumatic spinal injury
Ahmad Mohammad Ismail, Frank Hildebrand, Maximilian Peter Forssten, Marcelo A F Ribeiro, Parker Chang, Yang Cao, Babak Sarani, Shahin Mohseni
Trauma Surgery & Acute Care Open.2024; 9(1): e001265.     CrossRef
Relationship between spinal alignment and functional disability after thoracolumbar spinal fractures: A systematic review
Romulo Augusto Andrade de Almeida, Francisco Call-Orellana, Andrei Fernandes Joaquim
North American Spine Society Journal (NASSJ).2024; 19: 100529.     CrossRef
Machine-learning-based prediction by stacking ensemble strategy for surgical outcomes in patients with degenerative cervical myelopathy
Zhiwei Cai, Quan Sun, Chao Li, Jin Xu, Bo Jiang
Journal of Orthopaedic Surgery and Research.2024;[Epub]     CrossRef
Prediction of segmental motor outcomes in traumatic spinal cord injury: Advances beyond sum scores
Sarah C. Brüningk, Lucie Bourguignon, Louis P. Lukas, Doris Maier, Rainer Abel, Norbert Weidner, Rüdiger Rupp, Fred Geisler, John L.K. Kramer, James Guest, Armin Curt, Catherine R. Jutzeler
Experimental Neurology.2024; 380: 114905.     CrossRef
Prediction of poststroke independent walking using machine learning: a retrospective study
Zhiqing Tang, Wenlong Su, Tianhao Liu, Haitao Lu, Ying Liu, Hui Li, Kaiyue Han, Md. Moneruzzaman, Junzi Long, Xingxing Liao, Xiaonian Zhang, Lei Shan, Hao Zhang
BMC Neurology.2024;[Epub]     CrossRef
Diffusion basis spectrum imaging predicts long-term clinical outcomes following surgery in cervical spondylotic myelopathy
Justin K. Zhang, Dinal Jayasekera, Saad Javeed, Jacob K. Greenberg, Jacob Blum, Christopher F. Dibble, Peng Sun, Sheng-Kwei Song, Wilson Z. Ray
The Spine Journal.2023; 23(4): 504.     CrossRef
The role of Artificial intelligence in the assessment of the spine and spinal cord
Teodoro Martín-Noguerol, Marta Oñate Miranda, Timothy J. Amrhein, Felix Paulano-Godino, Pau Xiberta, Joan C Vilanova, Antonio Luna
European Journal of Radiology.2023; 161: 110726.     CrossRef
Predictive factors for degenerative lumbar spinal stenosis: a model obtained from a machine learning algorithm technique
Janan Abbas, Malik Yousef, Natan Peled, Israel Hershkovitz, Kamal Hamoud
BMC Musculoskeletal Disorders.2023;[Epub]     CrossRef
Emerging Technologies within Spine Surgery
David Foley, Pierce Hardacker, Michael McCarthy
Life.2023; 13(10): 2028.     CrossRef
Enabling knowledge translation: implementation of a web-based tool for independent walking prediction after traumatic spinal cord injury
Ramtin Hakimjavadi, Heather A. Hong, Nader Fallah, Suzanne Humphreys, Stephen Kingwell, Alexandra Stratton, Eve Tsai, Eugene K. Wai, Kristen Walden, Vanessa K. Noonan, Philippe Phan
Frontiers in Neurology.2023;[Epub]     CrossRef
Development of a machine learning algorithm for predicting in-hospital and 1-year mortality after traumatic spinal cord injury
Nader Fallah, Vanessa K. Noonan, Zeina Waheed, Carly S. Rivers, Tova Plashkes, Manekta Bedi, Mahyar Etminan, Nancy P. Thorogood, Tamir Ailon, Elaine Chan, Nicolas Dea, Charles Fisher, Raphaele Charest-Morin, Scott Paquette, SoEyun Park, John T. Street, Br
The Spine Journal.2022; 22(2): 329.     CrossRef
Development of a clinical prediction rule for patients with cervical spinal cord injury who have difficulty in obtaining independent living
Tomonari Hori, Takeshi Imura, Ryo Tanaka
The Spine Journal.2022; 22(2): 321.     CrossRef
Toward Improving the Prediction of Functional Ambulation After Spinal Cord Injury Through the Inclusion of Limb Accelerations During Sleep and Personal Factors
Stephanie K. Rigot, Michael L. Boninger, Dan Ding, Gina McKernan, Edelle C. Field-Fote, Jeanne Hoffman, Rachel Hibbs, Lynn A. Worobey
Archives of Physical Medicine and Rehabilitation.2022; 103(4): 676.     CrossRef
Commentary on “Frailty Status Is a More Robust Predictor Than Age of Spinal Tumor Surgery Outcomes: A NSQIP Analysis of 4,662 Patients”
Moon-Jun Sohn
Neurospine.2022; 19(1): 63.     CrossRef
Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome
Austin Chou, Abel Torres-Espin, Nikos Kyritsis, J. Russell Huie, Sarah Khatry, Jeremy Funk, Jennifer Hay, Andrew Lofgreen, Rajiv Shah, Chandler McCann, Lisa U. Pascual, Edilberto Amorim, Philip R. Weinstein, Geoffrey T. Manley, Sanjay S. Dhall, Jonathan Z
PLOS ONE.2022; 17(4): e0265254.     CrossRef
Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithm
Sophia A. Doerr, Carly Weber-Levine, Andrew M. Hersh, Tolulope Awosika, Brendan Judy, Yike Jin, Divyaansh Raj, Ann Liu, Daniel Lubelski, Craig K. Jones, Haris I. Sair, Nicholas Theodore
Neurosurgical Focus.2022; 52(4): E5.     CrossRef
Advances in monitoring for acute spinal cord injury: a narrative review of current literature
Yohannes Tsehay, Carly Weber-Levine, Timothy Kim, Alejandro Chara, Safwan Alomari, Tolulope Awosika, Ann Liu, Jeffrey Ehresman, Kurt Lehner, Brian Hwang, Andrew M. Hersh, Ian Suk, Eli Curry, Fariba Aghabaglou, Yinuo Zeng, Amir Manbachi, Nicholas Theodore
The Spine Journal.2022; 22(8): 1372.     CrossRef
Machine Learning-based Prediction of Prolonged Intensive Care Unit Stay for Critical Patients with Spinal Cord Injury
Guoxin Fan, Sheng Yang, Huaqing Liu, Ningze Xu, Yuyong Chen, Jie He, Xiuyun Su, Mao Pang, Bin Liu, Lanqing Han, Limin Rong
Spine.2022; 47(9): E390.     CrossRef
Management of Acute Spinal Cord Injury: Where Have We Been? Where Are We Now? Where Are We Going?
Michael G. Fehlings, Karlo Pedro, Nader Hejrati
Journal of Neurotrauma.2022; 39(23-24): 1591.     CrossRef
The application of artificial intelligence in spine surgery
Shuai Zhou, Feifei Zhou, Yu Sun, Xin Chen, Yinze Diao, Yanbin Zhao, Haoge Huang, Xiao Fan, Gangqiang Zhang, Xinhang Li
Frontiers in Surgery.2022;[Epub]     CrossRef
Risk Analysis Index and Its Recalibrated Version Predict Postoperative Outcomes Better Than 5-Factor Modified Frailty Index in Traumatic Spinal Injury
Matthew Conlon, Rachel Thommen, Syed Faraz Kazim, Alis J. Dicpinigaitis, Meic H. Schmidt, Rohini G. McKee, Christian A. Bowers
Neurospine.2022; 19(4): 1039.     CrossRef
Prediction of Worse Functional Status After Surgery for Degenerative Cervical Myelopathy: A Machine Learning Approach
Omar Khan, Jetan H Badhiwala, Muhammad A Akbar, Michael G Fehlings
Neurosurgery.2021; 88(3): 584.     CrossRef
Commentary: Machine Learning-Driven Metabolomic Evaluation of Cerebrospinal Fluid: Insights Into Poor Outcomes After Aneurysmal Subarachnoid Hemorrhage
Mark N Pernik, Jeffrey I Traylor, Tarek Y El Ahmadieh, Carlos A Bagley, Salah G Aoun
Neurosurgery.2021; 88(5): E410.     CrossRef
Machine learning in spine surgery: Predictive analytics, imaging applications and next steps
Rushikesh S. Joshi, Darryl Lau, Christopher P. Ames
Seminars in Spine Surgery.2021; 33(2): 100878.     CrossRef
Preoperative Radiological Parameters to Predict Clinical and Radiological Outcomes after Laminoplasty
Su Hun Lee, Dong Wuk Son, Jun Jae Shin, Yoon Ha, Geun Sung Song, Jun Seok Lee, Sang Weon Lee
Journal of Korean Neurosurgical Society.2021; 64(5): 677.     CrossRef
XGBoost, a Machine Learning Method, Predicts Neurological Recovery in Patients with Cervical Spinal Cord Injury
Tomoo Inoue, Daisuke Ichikawa, Taro Ueno, Maxwell Cheong, Takashi Inoue, William D. Whetstone, Toshiki Endo, Kuniyasu Nizuma, Teiji Tominaga
Neurotrauma Reports.2020; 1(1): 8.     CrossRef
Use of Machine Learning and Artificial Intelligence to Drive Personalized Medicine Approaches for Spine Care
Omar Khan, Jetan H. Badhiwala, Giovanni Grasso, Michael G. Fehlings
World Neurosurgery.2020; 140: 512.     CrossRef