AIMC Topic: Spinal Diseases

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Diagnostic evaluation of deep learning accelerated lumbar spine MRI.

The neuroradiology journal Jan 9, 2024
BACKGROUND AND PURPOSE: Deep learning (DL) accelerated MR techniques have emerged as a promising approach to accelerate routine MR exams. While prior studies explored DL acceleration for specific lumbar MRI sequences, a gap remains in comprehending t...
Adult Male Middle Aged Prospective Studies Female Aged Spinal Stenosis Signal-To-Noise Ratio Spinal Diseases Deep Learning Magnetic Resonance Imaging Lumbar Vertebrae Humans
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Automatic Spine Segmentation and Parameter Measurement for Radiological Analysis of Whole-Spine Lateral Radiographs Using Deep Learning and Computer Vision.

Journal of digital imaging May 2, 2023
Radiographic examination is essential for diagnosing spinal disorders, and the measurement of spino-pelvic parameters provides important information for the diagnosis and treatment planning of spinal sagittal deformities. While manual measurement met...
Computers Humans Spine Deep Learning Radiography Spinal Diseases
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Spinal disease diagnosis assistant based on MRI images using deep transfer learning methods.

Frontiers in public health Feb 24, 2023
INTRODUCTION: In light of the potential problems of missed diagnosis and misdiagnosis in the diagnosis of spinal diseases caused by experience differences and fatigue, this paper investigates the use of artificial intelligence technology for auxiliar...
Humans Artificial Intelligence Spinal Diseases Deep Learning Magnetic Resonance Imaging Spine
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A Bibliometric Analysis of Artificial Intelligence Applications in Spine Care.

Journal of neurological surgery. Part A, Central European neurosurgery Jan 14, 2023
BACKGROUND:  With the rapid development of science and technology, artificial intelligence (AI) has been widely used in the diagnosis and prognosis of various spine diseases. It has been proved that AI has a broad prospect in accurate diagnosis and t...
Humans Artificial Intelligence Spinal Diseases Bibliometrics International Cooperation Spine
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Posterior atlantoaxial internal fixation using Harms technique assisted by 3D-based navigation robot for treatment of atlantoaxial instability.

BMC surgery Nov 4, 2022
BACKGROUND: To evaluate the accuracy of screw placement using the TiRobot surgical robot in the Harms procedure and to assess the clinical outcomes of this technique.
Atlanto-Axial Joint Spinal Diseases Joint Instability Humans Retrospective Studies Adult Robotics Spinal Fusion
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Efficacy and safety of robotic spine surgery: systematic review and meta-analysis.

Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology Oct 15, 2022
BACKGROUND: Robotic surgery (RS) may offer benefits compared with freehand/conventional surgery (FS) in the treatment of patients with spinal disease. The aim of this study was to evaluate the efficacy and safety of RS versus FS in spinal fusion.
Pedicle Screws Spine Lumbar Vertebrae Spinal Diseases Robotic Surgical Procedures Humans Spinal Fusion Retrospective Studies Robotics
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Sacroiliac Joint Fusion Using Robotic Navigation: Technical Note and Case Series.

Operative neurosurgery (Hagerstown, Md.) Apr 27, 2022
BACKGROUND: Patients undergoing sacroiliac (SI) fusion can oftentimes experience significant improvements in pain and quality of life.
Humans Retrospective Studies Female Male Spinal Diseases Sacroiliac Joint Ankylosis Quality of Life Robotics Minimally Invasive Surgical Procedures Robotic Surgical Procedures Spinal Fusion Pain
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Robot-Assisted Minimally Invasive Sacroiliac Joint Fusion for Sacroiliac Joint Dysfunction: 2-Dimensional Operative Video.

Operative neurosurgery (Hagerstown, Md.) Apr 20, 2022
Sacroiliac Joint Ankylosis Robotics Spinal Fusion Spinal Diseases Humans
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Artificial intelligence and spine imaging: limitations, regulatory issues and future direction.

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 Jan 27, 2022
BACKGROUND: As big data and artificial intelligence (AI) in spine care, and medicine as a whole, continue to be at the forefront of research, careful consideration to the quality and techniques utilized is necessary. Predictive modeling, data science...
Spinal Diseases Artificial Intelligence Humans Machine Learning Algorithms
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Preoperative prediction of postoperative urinary retention in lumbar surgery: a comparison of regression to multilayer neural network.

Journal of neurosurgery. Spine Sep 10, 2021
OBJECTIVE: Postoperative urinary retention (POUR) is a common complication after spine surgery and is associated with prolongation of hospital stay, increased hospital cost, increased rate of urinary tract infection, bladder overdistention, and auton...
Regression Analysis Reproducibility of Results Predictive Value of Tests Risk Factors Lumbar Vertebrae Postoperative Complications Adult Machine Learning Humans Urinary Retention Aged ROC Curve Male Neural Networks, Computer Spinal Diseases Retrospective Studies Middle Aged Female
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