European Spine Journal




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Temporal validation of the SORG 90-Day and 1-Year machine learning algorithms for survival of patients with spinal metastatic disease

doi : 10.1007/s00586-024-08588-w

Volume 34, Issue 9 September 2025

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Machine learning can predict surgical indication: new clustering model from a large adult spine deformity database

doi : 10.1007/s00586-025-08653-y

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Machine learning insights into patient satisfaction following lateral lumbar interbody fusion

doi : 10.1007/s00586-025-08659-6

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Deep learning-based multimodal integration of imaging and clinical data for predicting surgical approach in percutaneous transforaminal endoscopic discectomy

doi : 10.1007/s00586-025-08668-5

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Machine learning algorithms for predicting future curve using first and second visit data in female adolescent idiopathic scoliosis patients

doi : 10.1007/s00586-025-08680-9

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Deep learning radiomics model based on contrast-enhanced MRI for distinguishing between tuberculous spondylitis and pyogenic spondylitis

doi : 10.1007/s00586-025-08696-1

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A deep learning-based prediction model for prognosis of cervical spine injury: a Japanese multicenter survey

doi : 10.1007/s00586-025-08708-0

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Leveraging small-sample machine learning for rigorous prediction of JOA recovery in cervical spondylotic myelopathy patients: insights from imaging parameters and modeling strategies

doi : 10.1007/s00586-025-08763-7

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AI versus the spinal surgeons in the management of controversial spinal surgery scenarios

doi : 10.1007/s00586-025-08825-w

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A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury

doi : 10.1007/s00586-025-08873-2

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A fully automatic Cobb angle measurement framework of full-spine DR images based on deep learning

doi : 10.1007/s00586-025-08895-w

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Comparison of lumbar disc degeneration grading between deep learning model SpineNet and radiologist: a longitudinal study with a 14-year follow-up

doi : 10.1007/s00586-025-08900-2

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Development and validation of machine learning models for distal instrumentation-related problems in patients with degenerative lumbar scoliosis based on preoperative CT and MRI

doi : 10.1007/s00586-025-08906-w

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Prediction of cervical spondylotic myelopathy from a plain radiograph using deep learning with convolutional neural networks

doi : 10.1007/s00586-025-08908-8

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Development of a deep learning model for measuring sagittal parameters on cervical spine X-ray

doi : 10.1007/s00586-025-08946-2

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Development and validation of a radiomics model using plain radiographs to predict spine fractures with posterior wall injury

doi : 10.1007/s00586-025-08948-0

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MRI Radiomics based on paraspinal muscle for prediction postoperative outcomes in lumbar degenerative spondylolisthesis

doi : 10.1007/s00586-025-08959-x

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Multimodal MRI-based clinical radiomics model for predicting postoperative anemia in patients with spinal metastases

doi : 10.1007/s00586-025-08966-y

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Clinical-radiomics nomogram construction from magnetic resonance imaging to diagnose osteoporosis: a preliminary study

doi : 10.1007/s00586-025-08978-8

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Design and radiological confirmation of three-column cortical bone trajectory in the lower thoracic vertebrae

doi : 10.1007/s00586-025-09025-2

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Machine learning-driven national analysis for predicting adverse outcomes in intramedullary spinal cord tumor surgery

doi : 10.1007/s00586-025-09029-y

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Prediction model of recurrence in patients with lumbar disc herniation after unilateral biportal endoscopy spinal surgery- XGBoost machine learning model can be interpreted based on SHAP

doi : 10.1007/s00586-025-09032-3

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Identifying gait subgroups in low back pain patients with artificial intelligence: implications for individualized interventions

doi : 10.1007/s00586-025-09033-2

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The role of generative artificial intelligence in deciding fusion treatment of lumbar degeneration: a comparative analysis and narrative review

doi : 10.1007/s00586-025-09052-z

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Research on a deep learning-based model for measurement of X-ray imaging parameters of atlantoaxial joint

doi : 10.1007/s00586-025-09075-6

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A novel artificial Intelligence-Based model for automated Lenke classification in adolescent idiopathic scoliosis

doi : 10.1007/s00586-025-09106-2

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Fully automated pedicle screw manufacturer identification in plain radiograph with deep learning methods

doi : 10.1007/s00586-025-09167-3

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Development and validation of machine learning models to predict vertebral artery injury by C2 pedicle screws

doi : 10.1007/s00586-025-09168-2

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Modalities of failure of cement-augmented pedicle screws

doi : 10.1007/s00586-025-08792-2

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Analysis of risk factors affecting lumbosacral pseudoarthrosis in multi-segmental fusion: a CT-based study

doi : 10.1007/s00586-025-08838-5

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�Risk factors for early-onset adjacent segment disease at L5-S1 segment after isolated L4-5 lumbar fusion surgery�

doi : 10.1007/s00586-025-08889-8

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The effect of symptom duration on the outcomes of lumbar discectomy for radicular pain secondary to lumbar disc herniation: a systematic review and meta-analysis

doi : 10.1007/s00586-025-08912-y

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ALIF vs. posterior fusion for lumbar degenerative disease: comparable efficacy but elevated risk of severe complications—a systematic review and meta-analysis

doi : 10.1007/s00586-025-08914-w

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Impact of caudal segment bone fusion on rod load at the cranial segment in a two-level spinal interbody fusion construct– a biomechanical study

doi : 10.1007/s00586-025-08929-3

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Assessing the impact of metabolic syndrome on the accuracy of vertebral bone quality in determining bone mineral density in patients undergoing lumbar fusion surgery

doi : 10.1007/s00586-025-08934-6

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Hip osteoarthritis is associated with higher revision rates following transforaminal lumbar interbody fusion

doi : 10.1007/s00586-025-08943-5

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Lumbar arthrodesis in elderly patients, is it a good option? A retrospective analysis of complications and pain improvement in a geriatric hospital

doi : 10.1007/s00586-025-08944-4

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Geriatric nutrition risk index is useful to assess the risk of postoperative urinary retention in elderly patient undergoing lumber interbody fusion

doi : 10.1007/s00586-025-08957-z

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Hounsfield units vs. vertebral bone quality score: which is a better predictor of screw loosening after single-level lumbar interbody fusion?

doi : 10.1007/s00586-025-08961-3

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Modeling optimal trajectory for tricortical pedicle screw fixation in adult thoracic spine: an imaging study using the three-dimensional reconstruction technique

doi : 10.1007/s00586-025-08972-0

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The impact of proton pump inhibitor use on fusion rates following single-level lumbar spinal fusion surgery

doi : 10.1007/s00586-025-08977-9

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A comparison of key performance metrics of major robotic platforms in spine surgery: a network meta-analysis of 14,462 screws

doi : 10.1007/s00586-025-08990-y

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Free-hand insertion of S2AI screw: what can we learn from O-arm navigation?

doi : 10.1007/s00586-025-09011-8

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Risk factors for facet joint violation in minimally invasive and open lumbar interbody fusion: a systematic review and meta-analysis

doi : 10.1007/s00586-025-09015-4

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Spinopelvic fixation surgery in relation to the femoroacetabular impingement syndrome under the ultrasound

doi : 10.1007/s00586-025-09055-w

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Comparative analysis of complications, costs, mortality, and length of stay in lumbar fusion surgery: robotic-assisted versus navigation-guided approaches

doi : 10.1007/s00586-025-09060-z

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Endplate Hounsfield units outperform lumbar HU and VBQ in predicting cage subsidence after posterior lumbar interbody fusion: a retrospective cohort study

doi : 10.1007/s00586-025-09062-x

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Comparable long-term pain and disability outcomes following decompression alone versus decompression with fusion in lumbar spinal stenosis patients with high-signal facet joints

doi : 10.1007/s00586-025-09065-8

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Stretch neuropraxia after L5-S1 anterior lumbar interbody fusion: effect of cage height and lordosis

doi : 10.1007/s00586-025-09091-6

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A novel plain radiographic measurement for precise detection of pedicle screws breaching the medial pedicle wall in thoracic and lumbar spine

doi : 10.1007/s00586-025-09097-0

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Clinical risk factors associated with cage migration after posterior approaches for lumbar interbody fusion: a 10-year systematic review and meta-analysis

doi : 10.1007/s00586-025-09109-z

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Does spinopelvic imbalance after minimally invasive lower lumbar fusion predispose patients to subsequent minimally invasive sacroiliac joint fusions? a case-control study

doi : 10.1007/s00586-025-09117-z

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Effects of lumbar degeneration on the global and regional bone mineral density in osteoporotic patients requiring lumbar interbody fusion for degenerative lumbar diseases

doi : 10.1007/s00586-025-09156-6

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Patterns of spinal injections following lumbar fusion surgery: a nationwide cohort study with 3-year follow-up

doi : 10.1007/s00586-025-09172-6

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Investigating complications of extreme lateral interbody fusion (XLIF) in the food and drug administration manufacturer and user facility device experience database

doi : 10.1007/s00586-025-09174-4

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Modified vertebral bone quality score is a better predictor of cage subsidence after transforaminal lumbar interbody fusion and is superior to vertebral bone quality score

doi : 10.1007/s00586-025-09178-0

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Primary right-sided retroperitoneal approach for anterior lumbar interbody fusion: a technical note and case series

doi : 10.1007/s00586-025-09225-w

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Spontaneous facet fusion following lateral lumbar interbody fusion supplemented with percutaneous pedicle screw fixation in degenerative lumbar disease

doi : 10.1007/s00586-025-09227-8

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Research on the predictive efficacy of MRI-based endplate bone quality and vertebral body bone quality scores for adjacent segment degeneration after lumbar spinal fusion

doi : 10.1007/s00586-025-09239-4

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Stabilization of L5 pedicle Subtraction osteotomies (PSO) with ≥ 6-rods and bilateral dual pelvic fixation with osseointegrative implants: surgical technique description and early postoperative outcomes

doi : 10.1007/s00586-025-09274-1

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