AIMC Topic: Intervertebral Disc Degeneration
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Artificial intelligence in predicting postoperative heterotopic ossification following anterior cervical disc replacement.
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
Jul 29, 2024
OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict high-grade heterotopic ossification (HO) following Anterior cervical disc replacement (ACDR).
Deep Learning Assisted Classification of T1ρ-MR Based Intervertebral Disc Degeneration Phases.
Journal of magnetic resonance imaging : JMRI
Jul 15, 2024
BACKGROUND: According to the T1ρ value of nucleus pulposus, our previous study has found that intervertebral disc degeneration (IDD) can be divided into three phases based on T1ρ-MR, which is helpful for the selection of biomaterial treatment timing....
Intervertebral Disc Degeneration
Low Back Pain
Intervertebral Disc
Nucleus Pulposus
ROC Curve
Retrospective Studies
Image Processing, Computer-Assisted
Female
Magnetic Resonance Imaging
Reproducibility of Results
Humans
Adult
Image Interpretation, Computer-Assisted
Aged
Male
Middle Aged
Deep Learning
Identification of core genes in intervertebral disc degeneration using bioinformatics and machine learning algorithms.
Frontiers in immunology
Jul 10, 2024
BACKGROUND: Intervertebral Disc Degeneration (IDD) is a major cause of lower back pain and a significant global health issue. However, the specific mechanisms of IDD remain unclear. This study aims to identify key genes and pathways associated with I...
SymTC: A symbiotic Transformer-CNN net for instance segmentation of lumbar spine MRI.
Computers in biology and medicine
Jul 1, 2024
Intervertebral disc disease, a prevalent ailment, frequently leads to intermittent or persistent low back pain, and diagnosing and assessing of this disease rely on accurate measurement of vertebral bone and intervertebral disc geometries from lumbar...
Natural Language Processing-Driven Artificial Intelligence Models for the Diagnosis of Lumbar Disc Herniation with L5 and S1 Radiculopathy: A Preliminary Evaluation.
World neurosurgery
Jun 13, 2024
OBJECTIVE: To develop and validate natural language processing-driven artificial intelligence (AI) models for the diagnosis of lumbar disc herniation (LDH) with L5 and S1 radiculopathy using electronic health records (EHRs).
Mo-fi-disc scoring system: Towards understanding the radiological tools to better delineate the disease process and enhancing our solutions for low back pain in artificial intelligence era.
Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
Apr 3, 2024
BACKGROUND: 'Mo-fi-disc' is a new scoring system that quantifies degeneration of the lumbar spine and predicts the intensity of low back pain (LBP). However, its association with LBP-related disability is unknown. In the present study, we aimed to an...
Optimal Implant Sizing Using Machine Learning Is Associated With Increased Range of Motion After Cervical Disk Arthroplasty.
Neurosurgery
Mar 29, 2024
BACKGROUND AND OBJECTIVES: Cervical disk arthroplasty (CDA) offers the advantage of motion preservation in the treatment of focal cervical pathology. At present, implant sizing is performed using subjective tactile feedback and imaging of trial cages...
Role of arachidonic acid metabolism in intervertebral disc degeneration: identification of potential biomarkers and therapeutic targets via multi-omics analysis and artificial intelligence strategies.
Lipids in health and disease
Nov 25, 2023
BACKGROUND: Intervertebral disc degeneration (IVDD) is widely recognized as the primary etiological factor underlying low back pain, often necessitating surgical intervention as the sole recourse in severe cases. The metabolic pathway of arachidonic ...
External Validation of SpineNet, an Open-Source Deep Learning Model for Grading Lumbar Disk Degeneration MRI Features, Using the Northern Finland Birth Cohort 1966.
Spine
Dec 30, 2022
STUDY DESIGN: This is a retrospective observational study to externally validate a deep learning image classification model.
External validation of the deep learning system "SpineNet" for grading radiological features of degeneration on MRIs of the lumbar spine.
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
Jul 14, 2022
BACKGROUND: Magnetic resonance imaging (MRI) is used to detect degenerative changes of the lumbar spine. SpineNet (SN), a computer vision-based system, performs an automated analysis of degenerative features in MRI scans aiming to provide high accura...
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