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Spinal Diseases

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Automatic Vertebrae Localization and Identification by Combining Deep SSAE Contextual Features and Structured Regression Forest.

Journal of digital imaging 30631979
Automatic vertebrae localization and identification in medical computed tomography (CT) scans is of great value for computer-aided spine diseases diagnosis. In order to overcome the disadvantages of the approaches employing hand-crafted, low-level fe...
Humans Neural Networks, Computer Pattern Recognition, Automated Radiographic Image Interpretation, Computer-Assisted Spinal Diseases Spine Tomography, X-Ray Computed
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Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess.

The spine journal : official journal of the North American Spine Society 31059819
BACKGROUND CONTEXT: Data regarding risk of failure of nonoperative management in spinal epidural abscess (SEA) are limited. Given the potential for deterioration with treatment failure, a tool that predicts the probability of failure would be of grea...
Adult Anti-Bacterial Agents Epidural Abscess Female Humans Logistic Models Machine Learning Male Middle Aged Risk Factors Spinal Diseases Treatment Failure
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Automatic Lumbar MRI Detection and Identification Based on Deep Learning.

Journal of digital imaging 30338477
The aim of this research is to automatically detect lumbar vertebras in MRI images with bounding boxes and their classes, which can assist clinicians with diagnoses based on large amounts of MRI slices. Vertebras are highly semblable in appearance, l...
Automation Deep Learning Humans Image Processing, Computer-Assisted Lumbar Vertebrae Magnetic Resonance Imaging Spinal Diseases
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Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value.

Spine 31205167
STUDY DESIGN: Retrospective review of prospectively-collected, multicenter adult spinal deformity (ASD) databases.
Adult Aged Artificial Intelligence Cluster Analysis Databases, Factual Female Humans Male Middle Aged Neurosurgical Procedures Osteotomy Predictive Value of Tests Prospective Studies Quality Improvement Retrospective Studies Spinal Diseases Young Adult
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Initial classification of low back and leg pain based on objective functional testing: a pilot study of machine learning applied to diagnostics.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 32072271
OBJECTIVE: The five-repetition sit-to-stand (5R-STS) test was designed to capture objective functional impairment and thus provided an adjunctive dimension in patient assessment. The clinical interpretability and confounders of the 5R-STS remain poor...
Adult Chronic Pain Diagnostic Techniques and Procedures Female Humans Intervertebral Disc Displacement Leg Low Back Pain Lumbar Vertebrae Machine Learning Male Middle Aged Pain Pilot Projects Prospective Studies Spinal Diseases Spinal Stenosis Spondylolisthesis
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Pain phenotypes classified by machine learning using electroencephalography features.

NeuroImage 32871260
Pain is a multidimensional experience mediated by distributed neural networks in the brain. To study this phenomenon, EEGs were collected from 20 subjects with chronic lumbar radiculopathy, 20 age and gender matched healthy subjects, and 17 subjects ...
Adult Aged Aged, 80 and over Brain Waves Electroencephalography Female Humans Lumbosacral Region Machine Learning Male Middle Aged Pain Radiculopathy Signal Processing, Computer-Assisted Spinal Diseases
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Use of Machine Learning and Artificial Intelligence to Drive Personalized Medicine Approaches for Spine Care.

World neurosurgery 32797983
Personalized medicine is a new paradigm of healthcare in which interventions are based on individual patient characteristics rather than on "one-size-fits-all" guidelines. As epidemiological datasets continue to burgeon in size and complexity, powerf...
Artificial Intelligence Functional Status Humans Machine Learning Natural Language Processing Precision Medicine Prognosis Spinal Cord Compression Spinal Cord Injuries Spinal Diseases Spondylosis
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Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort.

Neurosurgery 32392339
BACKGROUND: Unplanned hospital readmissions constitute a significant cost burden in healthcare. Identifying factors contributing to readmission risk presents opportunities for actionable change to reduce readmission rates.
Adult Aged Cohort Studies Female Humans Machine Learning Male Middle Aged Patient Discharge Patient Readmission Retrospective Studies Risk Factors Spinal Diseases
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Drivers of Prolonged Hospitalization Following Spine Surgery: A Game-Theory-Based Approach to Explaining Machine Learning Models.

The Journal of bone and joint surgery. American volume 33186002
BACKGROUND: Understanding the interactions between variables that predict prolonged hospital length of stay (LOS) following spine surgery can help uncover drivers of this risk in patients. This study utilized a novel game-theory-based approach to dev...
Comorbidity Computer Simulation Critical Care Elective Surgical Procedures Female Game Theory Humans Intensive Care Units Length of Stay Machine Learning Male Medicaid Middle Aged Nervous System Diseases Risk Factors Spinal Diseases United States
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Using Predictive Modeling and Machine Learning to Identify Patients Appropriate for Outpatient Anterior Cervical Fusion and Discectomy.

Spine 33306613
STUDY DESIGN: Retrospective, case-control.
Adult Ambulatory Surgical Procedures Case-Control Studies Cervical Vertebrae Cohort Studies Databases, Factual Diskectomy Female Humans Machine Learning Male Middle Aged Predictive Value of Tests Quality Improvement Retrospective Studies Risk Factors Spinal Diseases Spinal Fusion
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