- Degenerative Cervical Myelopathy
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Goel A
- KMID: 2469059
- Neurospine.
- 2019 Dec;16(4):793-795.
- doi: 10.14245/ns.1938384.192
No abstract available. -
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- Commentary: Artificial Intelligence for Adult Spinal Deformity
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Lenke LG
- KMID: 2469043
- Neurospine.
- 2019 Dec;16(4):695-696.
- doi: 10.14245/ns.19edi.020
No abstract available. -
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- Spine Surgeons Are Facing the Great Challenge of Contributing to the Realization of a Society of Health and Longevity
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Takami T
- KMID: 2469055
- Neurospine.
- 2019 Dec;16(4):770-771.
- doi: 10.14245/ns.19edi.019
No abstract available. -
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- Artificial Intelligence and the Future of Spine Surgery
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Joshi RS, Lau D, Ames CP
- KMID: 2469035
- Neurospine.
- 2019 Dec;16(4):637-639.
- doi: 10.14245/ns.1938410.205
No abstract available. -
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- Commentary on An Application of Artificial Intelligence to Diagnostic Imaging of Spine Disease: Estimating Spinal Alignment From Moiré Images
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Cheung KM
- KMID: 2469045
- Neurospine.
- 2019 Dec;16(4):703-704.
- doi: 10.14245/ns.1938438.219
No abstract available. -
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- Artificial Intelligence in Neurosurgery: A Comment on the Possibilities
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Perez-Breva L, Shin JH
- KMID: 2469036
- Neurospine.
- 2019 Dec;16(4):640-642.
- doi: 10.14245/ns.1938404.202
No abstract available. -
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- Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research
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Staartjes , Stienen MN
- KMID: 2469038
- Neurospine.
- 2019 Dec;16(4):654-656.
- doi: 10.14245/ns.1938434.217
No abstract available. -
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- Acidic Fibroblast Growth Factor in Spinal Cord Injury: A Potential Therapy Which Merits Further Investigation
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Yokota K, Fehlings M
- KMID: 2469050
- Neurospine.
- 2019 Dec;16(4):739-741.
- doi: 10.14245/ns.19edi.018
No abstract available. -
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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
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Maldaner N, Desai A, Gautschi O, Regli L, Ratliff JK, Park J, Stienen MN
- KMID: 2469047
- Neurospine.
- 2019 Dec;16(4):712-714.
- doi: 10.14245/ns.1938400.200
No abstract available. -
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- Brief History of Spinal Neurosurgical Societies in the United States: Part 1
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Vaziri S, Resnick DK, Ames CP, Harrop JS, Shaffrey C, Singh K, Smith JS, Hoh DJ
- KMID: 2469034
- Neurospine.
- 2019 Dec;16(4):631-636.
- doi: 10.14245/ns.1938378.189
No abstract available. -
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- Applications of Machine Learning Using Electronic Medical Records in Spine Surgery
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Schwartz J, Gao M, Geng EA, Mody KS, Mikhail CM, Cho SK
- KMID: 2469037
- Neurospine.
- 2019 Dec;16(4):643-653.
- doi: 10.14245/ns.1938386.193
Developments in machine learning in recent years have precipitated a surge in research on the applications of artificial intelligence within medicine. Machine learning algorithms are beginning to impact medicine broadly,... -
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- Predictive Analytics in Spine Oncology Research: First Steps, Limitations, and Future Directions
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Massaad E, Fatima N, Hadzipasic M, Alvarez-Breckenridge C, Shankar GM, Shin JH
- KMID: 2469040
- Neurospine.
- 2019 Dec;16(4):669-677.
- doi: 10.14245/ns.1938402.201
The potential of big data analytics to improve the quality of care for patients with spine tumors is significant. At this moment, the application of big data analytics to oncology... -
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- Morphometry of the Uncinate Process, Vertebral Body, and Lamina of the C3–7 Vertebrae Relevant to Cervical Spine Surgery
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Raveendranath V, Kavitha T, Umamageswari A
- KMID: 2469052
- Neurospine.
- 2019 Dec;16(4):748-755.
- doi: 10.14245/ns.1836272.136
OBJECTIVE: The cervical spine consists of 4 typical and 3 atypical vertebrae. The uncinate process is one of the unique features of the cervical vertebrae. Uncinectomy and uncoforaminotomy are widely... -
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- Deep Learning in Medical Imaging
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Kim M, Yun J, Cho Y, Shin K, Jang R, Bae HJ, Kim N
- KMID: 2469039
- Neurospine.
- 2019 Dec;16(4):657-668.
- doi: 10.14245/ns.1938396.198
The artificial neural network (ANN), one of the machine learning (ML) algorithms, inspired by the human brain system, was developed by connecting layers with artificial neurons. However, due to the... -
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- Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives
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Nam KH, Kim DH, Choi BK, Han IH
- KMID: 2469046
- Neurospine.
- 2019 Dec;16(4):705-711.
- doi: 10.14245/ns.1938388.194
Recent interest in medical artificial intelligence (AI) has increased with onset of the fourth industrial revolution. Real-time monitoring of patients is an important research area of medical AI. The medical... -
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- Rod Fracture Causing Relief of Back Pain That Developed After Adult Lumbar Degenerative Flat-Back Correction Surgery: A Case Report
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Choi JH, Jang JS, Jang IT
- KMID: 2469058
- Neurospine.
- 2019 Dec;16(4):789-792.
- doi: 10.14245/ns.1836198.099
A 73-year-old woman underwent deformity correction surgery (anterior lumbar interbody fusion of L2-L3-L4-L5-S1, pedicle subtraction osteotomy at L4, and posterior screw fixation from T10 to the pelvis) due to lumbar... -
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- Is Spinal Surgery Safe for Elderly Patients Aged 80 and Above? Predictors of Mortality and Morbidity in an Asian Population
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Tan JY, Kaliya-Perumal AK, Oh JY
- KMID: 2469054
- Neurospine.
- 2019 Dec;16(4):764-769.
- doi: 10.14245/ns.1836336.168
OBJECTIVE: We aimed to determine the 2-year mortality and morbidity rates following spine surgery in elderly patients (age ≥80 years) and to study the associated risk factors. METHODS: The records of... -
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- Predictive Modeling of Outcomes After Traumatic and Nontraumatic Spinal Cord Injury Using Machine Learning: Review of Current Progress and Future Directions
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Khan O, Badhiwala , Wilson JR, Jiang F, Martin AR, Fehlings M
- KMID: 2469041
- Neurospine.
- 2019 Dec;16(4):678-685.
- doi: 10.14245/ns.1938390.195
Machine learning represents a promising frontier in epidemiological research on spine surgery. It consists of a series of algorithms that determines relationships between data. Machine learning maintains numerous advantages over... -
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- Artificial Intelligence for Adult Spinal Deformity
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Joshi RS, Haddad AF, Lau D, Ames CP
- KMID: 2469042
- Neurospine.
- 2019 Dec;16(4):686-694.
- doi: 10.14245/ns.1938414.207
Adult spinal deformity (ASD) is a complex disease that significantly affects the lives of many patients. Surgical correction has proven to be effective in achieving improvement of spinopelvic parameters as... -
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- An Application of Artificial Intelligence to Diagnostic Imaging of Spine Disease: Estimating Spinal Alignment From Moiré Images
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Watanabe K, Aoki Y, Matsumoto
- KMID: 2469044
- Neurospine.
- 2019 Dec;16(4):697-702.
- doi: 10.14245/ns.1938426.213
The use of artificial intelligence (AI) as a tool supporting the diagnosis and treatment of spinal diseases is eagerly anticipated. In the field of diagnostic imaging, the possible application of... -
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