AIMC Topic: Diskectomy

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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 Aug 27, 2022
Humans Artificial Intelligence Spinal Fusion Diskectomy
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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 Aug 21, 2022
Humans Artificial Intelligence Spinal Fusion Diskectomy
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Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.

Radiology Sep 21, 2021
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...
Humans Diskectomy Spinal Cord Diseases Image Interpretation, Computer-Assisted Radiculopathy Preoperative Care Middle Aged Postoperative Complications Deep Learning Adult Cervical Vertebrae Retrospective Studies Sensitivity and Specificity Spinal Fusion Magnetic Resonance Imaging Male Female Predictive Value of Tests Reproducibility of Results
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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 Jun 7, 2021
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...
Humans Artificial Intelligence Lumbar Vertebrae Intervertebral Disc Displacement Diskectomy Retrospective Studies Female Male
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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 Mar 4, 2020
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 Natural Language Processing Lumbar Vertebrae Reoperation Prospective Studies Retrospective Studies Humans
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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 Jan 30, 2019
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.
Analgesics, Opioid Practice Patterns, Physicians' Drug Prescriptions Diskectomy Pain, Postoperative Cervical Vertebrae Spinal Fusion Adult Male Middle Aged Machine Learning Female Humans
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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 Nov 16, 2018
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...
Female Adult Humans Patient Reported Outcome Measures Deep Learning Intervertebral Disc Degeneration Lumbar Vertebrae Intervertebral Disc Displacement Feasibility Studies Male Diskectomy Middle Aged Postoperative Complications
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Robot-assisted multi-level anterior lumbar interbody fusion: an anatomical study.

Acta neurochirurgica Jul 24, 2018
BACKGROUND: Minimally invasive surgical approaches still provide limited exposure. Access to the L2-L5 intervertebral discs during a single procedure is challenging and often requires repositioning of the patient and adopting an alternative approach.
Spinal Fusion Lumbosacral Region Diskectomy Intervertebral Disc Animals Swine Robotics Humans
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Risk factors for predicting increased surgical drain output in patients after anterior cervical corpectomy and fusion.

Journal of orthopaedic surgery and research Dec 28, 2017
BACKGROUND: Although measures to reduce and treat the postoperative surgical drain output are discussed, along with the increased interest in causative factors related to the prevention and treatment reported by many studies, these are still controve...
Cervical Vertebrae Risk Factors Cohort Studies Drainage Aged Humans Predictive Value of Tests Adult Retrospective Studies Female Spinal Fusion Diskectomy Male Middle Aged Postoperative Complications
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Finding discriminative and interpretable patterns in sequences of surgical activities.

Artificial intelligence in medicine Sep 22, 2017
OBJECTIVE: Surgery is one of the riskiest and most important medical acts that is performed today. Understanding the ways in which surgeries are similar or different from each other is of major interest to understand and analyze surgical behaviors. T...
Humans Algorithms Neurosurgeons Clinical Competence Intervertebral Disc Pattern Recognition, Automated Practice Patterns, Physicians' Task Performance and Analysis Diskectomy Support Vector Machine Cervical Vertebrae Video Recording
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