AIMC Topic: Diskectomy

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Using Machine Learning and Deep Learning Algorithms to Predict Postoperative Outcomes Following Anterior Cervical Discectomy and Fusion.

Clinical spine surgery Mar 13, 2023
STUDY DESIGN: A retrospective cohort study from a multisite academic medical center.
Aged Aged, 80 and over Young Adult Adult Machine Learning Algorithms Retrospective Studies Adolescent Cervical Vertebrae Spinal Fusion Diskectomy Middle Aged Postoperative Complications Deep Learning Humans
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Minimally invasive trans-superior articular process percutaneous endoscopic lumbar discectomy with robot assistance.

BMC musculoskeletal disorders Dec 31, 2022
BACKGROUND: To compare the clinical outcomes of patients with lumbar disc herniation treated with robot-assisted percutaneous endoscopic lumbar discectomy (r-PELD) or conventional PELD under fluoroscopy guidance (f-PELD).
Robotics Lumbar Vertebrae Pain Diskectomy, Percutaneous Intervertebral Disc Displacement Retrospective Studies Humans Diskectomy Endoscopy Treatment Outcome
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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 Sep 21, 2022
STUDY DESIGN: Retrospective cohort.
Machine Learning Algorithms Retrospective Studies Humans Deep Learning United States Cervical Vertebrae Spinal Fusion Aged Adult Postoperative Complications Medicare 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
Spinal Fusion Diskectomy Humans Artificial Intelligence
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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...
Spinal Cord Diseases Sensitivity and Specificity Radiculopathy Male Preoperative Care Middle Aged Cervical Vertebrae Diskectomy Magnetic Resonance Imaging Retrospective Studies Postoperative Complications Spinal Fusion Humans Female Image Interpretation, Computer-Assisted Predictive Value of Tests Reproducibility of Results Deep Learning Adult
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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 Male Lumbar Vertebrae Retrospective Studies Female Intervertebral Disc Displacement Diskectomy
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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 Humans Prospective Studies Retrospective Studies
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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.
Adult Male Middle Aged Analgesics, Opioid Humans Drug Prescriptions Pain, Postoperative Practice Patterns, Physicians' Machine Learning Diskectomy Cervical Vertebrae Female Spinal Fusion
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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...
Male Humans Deep Learning Intervertebral Disc Displacement Middle Aged Patient Reported Outcome Measures Lumbar Vertebrae Female Diskectomy Postoperative Complications Feasibility Studies Adult Intervertebral Disc Degeneration
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