AIMC Topic: Spondylolisthesis

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Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?

The spine journal : official journal of the North American Spine Society Aug 15, 2021
BACKGROUND CONTEXT: The increasing volume of free-text notes available in electronic health records has created an opportunity for natural language processing (NLP) algorithms to mine this unstructured data in order to detect and predict adverse outc...
Adult Natural Language Processing Patient Readmission Lumbosacral Region Humans Retrospective Studies Spondylolisthesis
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Accuracy and deviation analysis of robot-assisted spinal implants: A retrospective overview of 105 cases and preliminary comparison to open freehand surgery in lumbar spondylolisthesis.

The international journal of medical robotics + computer assisted surgery : MRCAS May 6, 2021
BACKGROUND: Whether the accuracy of robot-assisted spinal screw placement is significantly higher than that of freehand and the source of robotic deviation remain unclear.
Humans Retrospective Studies Pedicle Screws Spinal Fusion Spondylolisthesis Lumbar Vertebrae Surgery, Computer-Assisted Robotics Robotic Surgical Procedures
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Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis.

World neurosurgery Apr 25, 2020
BACKGROUND: Preoperative prognostication of adverse events (AEs) for patients undergoing surgery for lumbar degenerative spondylolisthesis (LDS) can improve risk stratification and help guide the surgical decision-making process. The aim of this stud...
Bone Transplantation Ilium Serum Albumin Spondylolisthesis Lumbar Vertebrae Alkaline Phosphatase Sex Factors Transplantation, Autologous Clinical Decision Rules Postoperative Complications Adolescent Logistic Models Age Factors Decision Making Functional Status Neurosurgical Procedures Spinal Fusion Young Adult Adult Male Middle Aged Female Risk Factors Aged Aged, 80 and over Machine Learning Algorithms Prognosis Humans
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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 Feb 18, 2020
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...
Female Adult Male Middle Aged Pilot Projects Humans Machine Learning Prospective Studies Diagnostic Techniques and Procedures Spondylolisthesis Low Back Pain Spinal Diseases Leg Lumbar Vertebrae Chronic Pain Pain Spinal Stenosis Intervertebral Disc Displacement
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Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network.

Medical image analysis Jul 19, 2019
Grading spondylolisthesis into several stages from MRI images is challenging because detecting critical vertebrae and locating landmarks in images of different characteristics is difficult. We propose Faster Adversarial Recognition (FAR) network to a...
Magnetic Resonance Imaging Anatomic Landmarks Image Interpretation, Computer-Assisted Pattern Recognition, Automated Spondylolisthesis Humans Neural Networks, Computer Severity of Illness Index
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Single position spinal surgery for the treatment of grade II spondylolisthesis: A technical note.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Apr 28, 2019
BACKGROUND AND IMPORTANCE: Minimally invasive transpsoas approach to treat lumbar spondylolisthesis is associated with increased clinical benefits.
Humans Female Aged Middle Aged Dietary Supplements Robotics Adult Male Spondylolisthesis Neurosurgical Procedures Spinal Fusion Lumbar Vertebrae Pedicle Screws
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Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

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 Mar 27, 2019
PURPOSE: We aimed to develop a machine learning algorithm that can accurately predict discharge placement in patients undergoing elective surgery for degenerative spondylolisthesis.
Spondylolisthesis Male Middle Aged Models, Statistical Patient Discharge Algorithms Databases, Factual Female Aged Humans Machine Learning
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ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist.

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 Feb 6, 2017
STUDY DESIGN: Investigation of the automation of radiological features from magnetic resonance images (MRIs) of the lumbar spine.
Neural Networks, Computer Male Middle Aged Magnetic Resonance Imaging Humans Intervertebral Disc Degeneration Spondylolisthesis Intervertebral Disc Radiologists Lumbar Vertebrae Bone Marrow Spinal Stenosis
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Assessing the Intraoperative Accuracy of Pedicle Screw Placement by Using a Bone-Mounted Miniature Robot System through Secondary Registration.

PloS one Apr 7, 2016
INTRODUCTION: Pedicle screws are commonly employed to restore spinal stability and correct deformities. The Renaissance robotic system was developed to improve the accuracy of pedicle screw placement.
Spinal Diseases Adult Humans Female Pedicle Screws Male Robotics Research Design Aged Spondylolisthesis Middle Aged Spinal Fusion Aged, 80 and over Retrospective Studies Intraoperative Period Lumbar Vertebrae Young Adult Tomography, X-Ray Computed Surgery, Computer-Assisted
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[Development and validation of an automatic diagnostic tool for lumbar stability based on deep learning].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Jan 15, 2023
OBJECTIVE: To develop an automatic diagnostic tool based on deep learning for lumbar spine stability and validate diagnostic accuracy.
Radiography Lumbar Vertebrae Spinal Diseases Joint Instability Spondylolisthesis Humans Reproducibility of Results Deep Learning
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