OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning
Bayard Wilson, Bilwaj Gaonkar, Bryan Yoo, et al.
Neurosurgery (2021) Vol. 89, Iss. 1, pp. 116-121
Open Access | Times Cited: 27
Bayard Wilson, Bilwaj Gaonkar, Bryan Yoo, et al.
Neurosurgery (2021) Vol. 89, Iss. 1, pp. 116-121
Open Access | Times Cited: 27
Showing 1-25 of 27 citing articles:
Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data
Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Artificial Intelligence in Spinal Imaging and Patient Care: A Review of Recent Advances
Sungwon Lee, Joon‐Yong Jung, Akaworn Mahatthanatrakul, et al.
Neurospine (2024) Vol. 21, Iss. 2, pp. 474-486
Open Access | Times Cited: 5
Sungwon Lee, Joon‐Yong Jung, Akaworn Mahatthanatrakul, et al.
Neurospine (2024) Vol. 21, Iss. 2, pp. 474-486
Open Access | Times Cited: 5
Progression from outpatient referral to spinal surgery in an Australian cohort with degenerative spinal disease
A. Chen, P Coleridge Smith, Andrew Gogos
Journal of Clinical Neuroscience (2025) Vol. 133, pp. 111040-111040
Closed Access
A. Chen, P Coleridge Smith, Andrew Gogos
Journal of Clinical Neuroscience (2025) Vol. 133, pp. 111040-111040
Closed Access
Machine learning can predict surgical indication: new clustering model from a large adult spine deformity database
Alice Baroncini, Daniel Larrieu, Anouar Bourghli, et al.
European Spine Journal (2025)
Closed Access
Alice Baroncini, Daniel Larrieu, Anouar Bourghli, et al.
European Spine Journal (2025)
Closed Access
Current Applications of Machine Learning in Spine: From Clinical View
GuanRui Ren, Kun Yu, Zhi‐Yang Xie, et al.
Global Spine Journal (2021) Vol. 12, Iss. 8, pp. 1827-1840
Open Access | Times Cited: 31
GuanRui Ren, Kun Yu, Zhi‐Yang Xie, et al.
Global Spine Journal (2021) Vol. 12, Iss. 8, pp. 1827-1840
Open Access | Times Cited: 31
Potential Applications of Artificial Intelligence and Machine Learning in Spine Surgery Across the Continuum of Care
Samuel R. Browd, Christine Park, Daniel A. Donoho
The International Journal of Spine Surgery (2023) Vol. 17, Iss. S1, pp. S26-S33
Open Access | Times Cited: 11
Samuel R. Browd, Christine Park, Daniel A. Donoho
The International Journal of Spine Surgery (2023) Vol. 17, Iss. S1, pp. S26-S33
Open Access | Times Cited: 11
Innovations in Spine Surgery: A Narrative Review of Current Integrative Technologies
George Bcharah, Nithin Gupta, Nicholas Panico, et al.
World Neurosurgery (2023) Vol. 184, pp. 127-136
Closed Access | Times Cited: 11
George Bcharah, Nithin Gupta, Nicholas Panico, et al.
World Neurosurgery (2023) Vol. 184, pp. 127-136
Closed Access | Times Cited: 11
Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery
Hao Han, Ran Li, Dongming Fu, et al.
BMC Surgery (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Hao Han, Ran Li, Dongming Fu, et al.
BMC Surgery (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Spino-plastic surgery, back to the future
Casey Martinez, Cynthia S. Payne, Jonathan L. Jeger, et al.
Artificial Intelligence Surgery (2025) Vol. 5, Iss. 1, pp. 16-23
Open Access
Casey Martinez, Cynthia S. Payne, Jonathan L. Jeger, et al.
Artificial Intelligence Surgery (2025) Vol. 5, Iss. 1, pp. 16-23
Open Access
Artificial intelligence in degenerative cervical disease: A systematic review of MRI-based diagnostic models
Qian Du, Xinxin Shao, Mingbo Zhang, et al.
Digital Health (2025) Vol. 11
Open Access
Qian Du, Xinxin Shao, Mingbo Zhang, et al.
Digital Health (2025) Vol. 11
Open Access
Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review
Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, et al.
BMC Musculoskeletal Disorders (2025) Vol. 26, Iss. 1
Open Access
Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, et al.
BMC Musculoskeletal Disorders (2025) Vol. 26, Iss. 1
Open Access
A National Survey on Physician Perspectives on Artificial Intelligence: Assessing Physician Acceptance and Clinical Integration of AI Tools (Preprint)
Anshul Ratnaparkhi, Simon Moore, Abhinav Suri, et al.
(2025)
Closed Access
Anshul Ratnaparkhi, Simon Moore, Abhinav Suri, et al.
(2025)
Closed Access
The Application of Artificial Intelligence in Spine Surgery: A Scoping Review
Liangyu Shi, Hongfei Wang, Graham Ka‐Hon Shea
JAAOS Global Research and Reviews (2025) Vol. 9, Iss. 4
Open Access
Liangyu Shi, Hongfei Wang, Graham Ka‐Hon Shea
JAAOS Global Research and Reviews (2025) Vol. 9, Iss. 4
Open Access
Experience in psychological counseling supported by artificial intelligence technology
Yuxia Ping
Technology and Health Care (2024) Vol. 32, Iss. 6, pp. 3871-3888
Closed Access | Times Cited: 3
Yuxia Ping
Technology and Health Care (2024) Vol. 32, Iss. 6, pp. 3871-3888
Closed Access | Times Cited: 3
Developing a triage predictive model for access to a spinal surgeon using clinical variables and natural language processing of radiology reports
Brandon Krebs, Andrew Nataraj, Erin McCabe, et al.
European Spine Journal (2023)
Closed Access | Times Cited: 8
Brandon Krebs, Andrew Nataraj, Erin McCabe, et al.
European Spine Journal (2023)
Closed Access | Times Cited: 8
Performance of hybrid artificial intelligence in determining candidacy for lumbar stenosis surgery
Raphaël Mourad, Serhiі Kolisnyk, Yurii Baiun, et al.
European Spine Journal (2022) Vol. 31, Iss. 8, pp. 2149-2155
Open Access | Times Cited: 13
Raphaël Mourad, Serhiі Kolisnyk, Yurii Baiun, et al.
European Spine Journal (2022) Vol. 31, Iss. 8, pp. 2149-2155
Open Access | Times Cited: 13
Automatic segmentation of dura for quantitative analysis of lumbar stenosis: A deep learning study with 518 CT myelograms
Guoxin Fan, Yufeng Li, Dongdong Wang, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 7
Open Access | Times Cited: 2
Guoxin Fan, Yufeng Li, Dongdong Wang, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 7
Open Access | Times Cited: 2
Determining Prior Authorization Approval for Lumbar Stenosis Surgery With Machine Learning
Amaury De Barros, Frederik Abel, Serhiі Kolisnyk, et al.
Global Spine Journal (2023) Vol. 14, Iss. 6, pp. 1753-1759
Open Access | Times Cited: 4
Amaury De Barros, Frederik Abel, Serhiі Kolisnyk, et al.
Global Spine Journal (2023) Vol. 14, Iss. 6, pp. 1753-1759
Open Access | Times Cited: 4
Deep learning assisted segmentation of the lumbar intervertebral disc: a systematic review and meta-analysis
Aobo Wang, Congying Zou, Shuo Yuan, et al.
Journal of Orthopaedic Surgery and Research (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Aobo Wang, Congying Zou, Shuo Yuan, et al.
Journal of Orthopaedic Surgery and Research (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
The use of machine learning for predicting candidates for outpatient spine surgery: a review
Ian J. Wellington, Owen P. Karsmarski, Kyle V. Murphy, et al.
Journal of Spine Surgery (2023) Vol. 9, Iss. 3, pp. 323-330
Open Access | Times Cited: 3
Ian J. Wellington, Owen P. Karsmarski, Kyle V. Murphy, et al.
Journal of Spine Surgery (2023) Vol. 9, Iss. 3, pp. 323-330
Open Access | Times Cited: 3
Machine Learning Predicts Decompression Levels for Lumbar Spinal Stenosis Using Canal Radiomic Features from Computed Tomography Myelography
Guoxin Fan, Dongdong Wang, Yufeng Li, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 53-53
Open Access | Times Cited: 3
Guoxin Fan, Dongdong Wang, Yufeng Li, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 53-53
Open Access | Times Cited: 3
Artificial Intelligence in Surgery, Surgical Subspecialties, and Related Disciplines
Ryan Lee, Alyssa Imperatore Ziehm, Lauryn Ullrich, et al.
Artificial intelligence (2023)
Open Access | Times Cited: 2
Ryan Lee, Alyssa Imperatore Ziehm, Lauryn Ullrich, et al.
Artificial intelligence (2023)
Open Access | Times Cited: 2
Clinical prediction for surgical versus nonsurgical interventions in patients with vertebral osteomyelitis and discitis
Jennifer Lee, Miguel A. Ruiz-Cardozo, Rujvee P. Patel, et al.
Journal of Spine Surgery (2024) Vol. 10, Iss. 2, pp. 204-213
Open Access
Jennifer Lee, Miguel A. Ruiz-Cardozo, Rujvee P. Patel, et al.
Journal of Spine Surgery (2024) Vol. 10, Iss. 2, pp. 204-213
Open Access
Deep Learning Based Evaluation of Surgical Candidacy for Cervical Spinal Cord Decompression
Anshul Ratnaparkhi, Bayard Wilson, David Zarrin BSE, et al.
Research Square (Research Square) (2024)
Closed Access
Anshul Ratnaparkhi, Bayard Wilson, David Zarrin BSE, et al.
Research Square (Research Square) (2024)
Closed Access
Recent Advances in Spine Surgery- Pros and Cons
Arvind Vatkar, Sumedha Shinde, Sachin M. Kale, et al.
Journal of Clinical Orthopaedics (2023) Vol. 8, Iss. 2, pp. 50-53
Open Access | Times Cited: 1
Arvind Vatkar, Sumedha Shinde, Sachin M. Kale, et al.
Journal of Clinical Orthopaedics (2023) Vol. 8, Iss. 2, pp. 50-53
Open Access | Times Cited: 1
