Neurospine

Miscellaneous
Brief History of Spinal Neurosurgical Societies in the United States: Part 1: Sasha Vaziri, Daniel K. Resnick, Christopher P. Ames, James S. Harrop, Christopher I. Shaffrey, Kern Singh, Justin S. Smith, Daniel J. Hoh; Neurospine. 2019;16(4):631-636. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938378.189
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Artificial Intelligence and the Future of Spine Surgery: Rushikesh S. Joshi, Darryl Lau, Christopher P. Ames; Neurospine. 2019;16(4):637-639. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938410.205
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Artificial Intelligence in Neurosurgery: A Comment on the Possibilities: Luis Perez-Breva, John H. Shin; Neurospine. 2019;16(4):640-642. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938404.202
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Applications of Machine Learning Using Electronic Medical Records in Spine Surgery: John T. Schwartz, Michael Gao, Eric A. Geng, Kush S. Mody, Christopher M. Mikhail, Samuel K. Cho; Neurospine. 2019;16(4):643-653. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938386.193
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Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research: Victor E. Staartjes, Martin N. Stienen; Neurospine. 2019;16(4):654-656. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938434.217
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Neuroimaging
Deep Learning in Medical Imaging: Mingyu Kim, Jihye Yun, Yongwon Cho, Keewon Shin, Ryoungwoo Jang, Hyun-jin Bae, Namkug Kim; Neurospine. 2019;16(4):657-668. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938396.198 Correction in: Neurospine 2020;17(2):471
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Oncology
Predictive Analytics in Spine Oncology Research: First Steps, Limitations, and Future Directions: Elie Massaad, Nida Fatima, Muhamed Hadzipasic, Christopher Alvarez-Breckenridge, Ganesh M. Shankar, John H. Shin; Neurospine. 2019;16(4):669-677. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938402.201
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Spinal cord
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 December 31, 2019; DOI: https://doi.org/10.14245/ns.1938390.195
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Miscellaneous
Artificial Intelligence for Adult Spinal Deformity: Rushikesh S. Joshi, Alexander F. Haddad, Darryl Lau, Christopher P. Ames; Neurospine. 2019;16(4):686-694. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938414.207
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Commentary: Artificial Intelligence for Adult Spinal Deformity: Lawrence G. Lenke; Neurospine. 2019;16(4):695-696. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.19edi.020
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An Application of Artificial Intelligence to Diagnostic Imaging of Spine Disease: Estimating Spinal Alignment From Moiré Images: Kota Watanabe, Yoshimitsu Aoki, Morio Matsumoto; Neurospine. 2019;16(4):697-702. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938426.213
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Commentary on An Application of Artificial Intelligence to Diagnostic Imaging of Spine Disease: Estimating Spinal Alignment From Moiré Images: Kenneth MC Cheung; Neurospine. 2019;16(4):703-704. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938438.219
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Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives: Kyoung Hyup Nam, Dong Hwan Kim, Byung Kwan Choi, In Ho Han; Neurospine. 2019;16(4):705-711. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938388.194
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Improving the Patient-Physician Relationship in the Digital Era - Transformation From Subjective Questionnaires Into Objective Real-Time and Patient-Specific Data Reporting Tools: Nicolai Maldaner, Atman Desai, Oliver P. Gautschi, Luca Regli, John K. Ratliff, Jon Park, Martin N. Stienen; Neurospine. 2019;16(4):712-714. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938400.200
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Pediatrics
Towards Guideline-Based Management of Tethered Cord Syndrome in Spina Bifida: A Global Health Paradigm Shift in the Era of Prenatal Surgery: Viachaslau Bradko, Heidi Castillo, Shruthi Janardhan, Benny Dahl, Kellen Gandy, Jonathan Castillo; Neurospine. 2019;16(4):715-727. Published online July 8, 2019; DOI: https://doi.org/10.14245/ns.1836342.171
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Spinal cord
Acidic Fibroblast Growth Factor in Spinal Cord Injury: Chin-Chu Ko, Tsung-Hsi Tu, Jau-Ching Wu, Wen-Cheng Huang, Henrich Cheng; Neurospine. 2019;16(4):728-738. Published online January 15, 2019; DOI: https://doi.org/10.14245/ns.1836216.108
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Acidic Fibroblast Growth Factor in Spinal Cord Injury: A Potential Therapy Which Merits Further Investigation: Kazuya Yokota, Michael G. Fehlings; Neurospine. 2019;16(4):739-741. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.19edi.018
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Lumbosacral spine
A Radiological Study of the Association of Facet Joint Tropism and Facet Angulation With Degenerative Spondylolisthesis: Ravi Ranjan Rai, Yash Shah, Siddharth Shah, Nigil Sadanandan Palliyil, Samir Dalvie; Neurospine. 2019;16(4):742-747. Published online January 16, 2019; DOI: https://doi.org/10.14245/ns.1836232.116
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Cervical spine
Morphometry of the Uncinate Process, Vertebral Body, and Lamina of the C3–7 Vertebrae Relevant to Cervical Spine Surgery: Veeramani Raveendranath, Thangarasu Kavitha, Amirthalingam Umamageswari; Neurospine. 2019;16(4):748-755. Published online July 5, 2019; DOI: https://doi.org/10.14245/ns.1836272.136
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Infection
High Prevalence of Multifocal Spine Infections Involving the Cervical and Thoracic Regions: A Case for Imaging the Entire Spine: Christian Balcescu, Khalid Odeh, Alexander Rosinski, Jonathan Wang, Priya Prasad, Jeremi Leasure, Victor Ungurean Jr., Dimitriy Kondrashov; Neurospine. 2019;16(4):756-763. Published online July 8, 2019; DOI: https://doi.org/10.14245/ns.1836296.148
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Epidemiology
Is Spinal Surgery Safe for Elderly Patients Aged 80 and Above? Predictors of Mortality and Morbidity in an Asian Population: Joshua Yuan-Wang Tan, Arun-Kumar Kaliya-Perumal, Jacob Yoong-Leong Oh; Neurospine. 2019;16(4):764-769. Published online July 8, 2019; DOI: https://doi.org/10.14245/ns.1836336.168
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Miscellaneous
Spine Surgeons Are Facing the Great Challenge of Contributing to the Realization of a Society of Health and Longevity: Toshihiro Takami; Neurospine. 2019;16(4):770-771. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.19edi.019
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Minimally invasive surgery
Impact of Iliac Crest Bone Grafting on Postoperative Outcomes and Complication Rates Following Minimally Invasive Transforaminal Lumbar Interbody Fusion: Brittany E. Haws, Benjamin Khechen, Dil V. Patel, Joon S. Yoo, Jordan A. Guntin, Kaitlyn L. Cardinal, Junyoung Ahn, Kern Singh; Neurospine. 2019;16(4):772-779. Published online July 8, 2019; DOI: https://doi.org/10.14245/ns.1938006.003
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Miscellaneous
Complications of Spine Surgery in Elderly Japanese Patients: Implications for Future of World Population Aging: Motoyuki Umekawa, Keisuke Takai, Makoto Taniguchi; Neurospine. 2019;16(4):780-788. Published online August 25, 2019; DOI: https://doi.org/10.14245/ns.1938184.092
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Lumbosacral spine
Rod Fracture Causing Relief of Back Pain That Developed After Adult Lumbar Degenerative Flat-Back Correction Surgery: A Case Report: Jeong-Hoon Choi, Jee-Soo Jang, Il-Tae Jang; Neurospine. 2019;16(4):789-792. Published online December 9, 2019; DOI: https://doi.org/10.14245/ns.1836198.099
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Cervical spine
Degenerative Cervical Myelopathy: Atul Goel; Neurospine. 2019;16(4):793-795. Published online December 31, 2019; DOI: https://doi.org/10.14245/ns.1938384.192
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