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Diskectomy

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Deep learning-based preoperative predictive analytics for patient-reported outcomes following lumbar discectomy: feasibility of center-specific modeling.

The spine journal : official journal of the North American Spine Society 30453080
BACKGROUND CONTEXT: There is considerable variability in patient-reported outcome measures following surgery for lumbar disc herniation. Individualized prediction tools that are derived from center- or even surgeon-specific data could provide valuabl...
Adult Deep Learning Diskectomy Feasibility Studies Female Humans Intervertebral Disc Degeneration Intervertebral Disc Displacement Lumbar Vertebrae Male Middle Aged Patient Reported Outcome Measures Postoperative Complications
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Machine learning for prediction of sustained opioid prescription after anterior cervical discectomy and fusion.

The spine journal : official journal of the North American Spine Society 30710731
BACKGROUND CONTEXT: The severity of the opioid epidemic has increased scrutiny of opioid prescribing practices. Spine surgery is a high-risk episode for sustained postoperative opioid prescription.
Adult Analgesics, Opioid Cervical Vertebrae Diskectomy Drug Prescriptions Female Humans Machine Learning Male Middle Aged Pain, Postoperative Practice Patterns, Physicians' Spinal Fusion
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Can natural language processing provide accurate, automated reporting of wound infection requiring reoperation after lumbar discectomy?

The spine journal : official journal of the North American Spine Society 32145358
BACKGROUND: Surgical site infections are a major driver of morbidity and increased costs in the postoperative period after spine surgery. Current tools for surveillance of these adverse events rely on prospective clinical tracking, manual retrospecti...
Diskectomy Humans Lumbar Vertebrae Natural Language Processing Prospective Studies Reoperation Retrospective Studies
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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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Artificial intelligence predicts disk re-herniation following lumbar microdiscectomy: development of the "RAD" risk profile.

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 34100112
PURPOSE: Surgical treatment of herniated lumbar intervertebral disks is a common procedure worldwide. However, recurrent herniated nucleus pulposus (re-HNP) may develop, complicating outcomes and patient management. The purpose of this study was to u...
Artificial Intelligence Diskectomy Female Humans Intervertebral Disc Displacement Lumbar Vertebrae Male Retrospective Studies
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Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.

Radiology 34546126
Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who will develop ASD remains challenging for clinicians. Purpose To develop and validate a deep learnin...
Adult Cervical Vertebrae Deep Learning Diskectomy Female Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Postoperative Complications Predictive Value of Tests Preoperative Care Radiculopathy Reproducibility of Results Retrospective Studies Sensitivity and Specificity Spinal Cord Diseases Spinal Fusion
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Answer to the letter to the editor by Zhi-Hui Dai concerning "Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion" by Rudisill SS et al. (Eur Spine J [2022]; doi: 10.1007/s00586-022-07238-3).

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 36028590
Artificial Intelligence Diskectomy Humans Spinal Fusion
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Letter to the Editor concerning "Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion" by Rudisill SS, et al. (Eur Spine J [2022]; doi: 10.1007/s00586-022-07238-3).

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 35989344
Artificial Intelligence Diskectomy Humans Spinal Fusion
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Comparison of Deep Learning and Classical Machine Learning Algorithms to Predict Postoperative Outcomes for Anterior Cervical Discectomy and Fusion Procedures With State-of-the-art Performance.

Spine 36149852
STUDY DESIGN: Retrospective cohort.
Adult Aged Algorithms Cervical Vertebrae Deep Learning Diskectomy Humans Machine Learning Medicare Postoperative Complications Retrospective Studies Spinal Fusion United States
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Extreme Lateral Lumbar Interbody Fusion Surgery with a Robot-Assisted System in a Swine Model.

Turkish neurosurgery 35929041
AIM: To evaluate the technical aspects of the Da Vinci Xi Surgical System in minimally invasive extreme lateral lumbar interbody fusion (XLIF) surgery in a swine model.
Animals Diskectomy Fluoroscopy Lumbar Vertebrae Minimally Invasive Surgical Procedures Robotics Spinal Fusion Swine
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