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Tweets by 2023 DSPN Spine Summit
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I-627
Machine Learning Models Predict Functional Outcome in Patients After Lumbar Spine Surgery
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I-628
Machine learning-based detection of sarcopenic obesity and adverse outcome prediction in patients undergoing surgical treatment for spinal metastases
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I-629
Maintenance of Alignment Following Adult Spinal Deformity Surgery: A Comparative Analysis of the Impact of Utilization of Supplemental Rods Relative to Interbody Placement
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I-630
Malposition Rates of Subaxial Cervical Pedicle Screws Placed Using Intraoperative CT (O-arm) Based 3D Navigation
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I-631
Management of Lumbar Spinal Stenosis: a worldwide survey among neurosurgeons.
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I-632
Mechanobiology At Work: Analysis of Surface Characteristic Induced by Physiological Load-induced Deformation of 3D Printed Truss Elements and Osteogenic Response of Mesenchymal Stem Sells
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I-634
Minimally Invasive Transforaminal Lumbar Interbody Fusion in Ambulatory Surgery Center versus Inpatient Setting: A One-Year Cost Utility Analysis
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I-635
Modifiable Risk Factors of Emergency Department Visits Following Elective Cervical and Lumbar Surgeries: A Prospective, Multi-Institution Analysis
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I-636
Moving Beyond Implant Costs: How Do the True Intraoperative Costs Compare for ACDF vs TDR?
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I-637
Multi-level (3 or more) Minimally Invasive Lumbar Laminectomy Stenosis: A Critical Long-Term Patient Outcome Analysis
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I-638
Multilinear Regression Modeling of Smartphone-Based Accelerometry Data Predicts Post-Operative Mobility Status in Lumbar Spine Surgery Patients
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I-639
Multiple Myeloma of the Spine - Current Concepts in Surgical Treatment
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I-640
Multi-Rod Constructs in Adult Spinal Deformity: A Longitudinal Analysis of 1195 Operations from 2008 to 2020
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I-641
Multivariate Automated Prediction Algorithm Improves Accuracy of Intraoperative Neuromonitoring to Predict Nerve Root Injury after Adult Deformity Surgery
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I-642
Muscle Accelerometry as a Novel Marker of Axonal Injury in Chronic Entrapment Neuropathy
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