AIMC Topic: Lumbar Vertebrae

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Identification of copper death-associated molecular clusters and immunological profiles for lumbar disc herniation based on the machine learning.

Scientific reports Aug 20, 2024
Lumbar disc herniation (LDH) is a common clinical spinal disorder, yet its etiology remains unclear. We aimed to explore the role of cuproptosis-related genes (CRGs) and identify potential diagnostic biomarkers. Our analysis involved interrogating th...
Humans Machine Learning Biomarkers Copper Lumbar Vertebrae Cell Death Intervertebral Disc Displacement Gene Expression Profiling Transcriptome Cluster Analysis
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Development of a deep learning model for detecting lumbar vertebral fractures on CT images: An external validation.

European journal of radiology Aug 15, 2024
OBJECTIVE: To develop and externally validate a binary classification model for lumbar vertebral body fractures based on CT images using deep learning methods.
Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae Reproducibility of Results Humans Spinal Fractures Aged Aged, 80 and over Tomography, X-Ray Computed Female Middle Aged Adult Deep Learning Male
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An artificial intelligence boost to MRI lumbar spine reporting.

European journal of radiology Jul 25, 2024
Lumbar Vertebrae Humans Artificial Intelligence Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Spinal Diseases
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A microdiscectomy surgical video annotation framework for supervised machine learning applications.

International journal of computer assisted radiology and surgery Jul 19, 2024
PURPOSE: Lumbar discectomy is among the most common spine procedures in the US, with 300,000 procedures performed each year. Like other surgical procedures, this procedure is not excluded from potential complications. This paper presents a video anno...
Diskectomy Lumbar Vertebrae Workflow Supervised Machine Learning Video Recording Humans Microsurgery
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Policy Learning for Actively Labeled Sample Selection on Lumbar Semi-supervised Classification.

Journal of imaging informatics in medicine Jul 17, 2024
Large labeled data bring significant performance improvement, but acquiring labeled medical data is particularly challenging due to the laborious, time-consuming, and medically qualified annotation. Semi-supervised learning has been employed to lever...
Lumbar Vertebrae Supervised Machine Learning Intervertebral Disc Displacement Humans Magnetic Resonance Imaging
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Deep learning reconstructed T2-weighted Dixon imaging of the spine: Impact on acquisition time and image quality.

European journal of radiology Jul 15, 2024
PURPOSE: To assess the image quality and impact on acquisition time of a novel deep learning based T2 Dixon sequence (T2) of the spine.
Humans Lumbar Vertebrae Prospective Studies Spinal Diseases Image Interpretation, Computer-Assisted Female Middle Aged Artifacts Aged Deep Learning Adult Magnetic Resonance Imaging Male
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Deep learning application of vertebral compression fracture detection using mask R-CNN.

Scientific reports Jul 15, 2024
Vertebral compression fractures (VCFs) of the thoracolumbar spine are commonly caused by osteoporosis or result from traumatic events. Early diagnosis of vertebral compression fractures can prevent further damage to patients. When assessing these fra...
Humans Neural Networks, Computer Female Aged Male Middle Aged Lumbar Vertebrae Deep Learning Spinal Fractures Thoracic Vertebrae Fractures, Compression Radiography
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Interpretable Machine Learning Models Based on Shapley Additive Explanations for Predicting the Risk of Cerebrospinal Fluid Leakage in Lumbar Fusion Surgery.

Spine Jul 4, 2024
STUDY DESIGN: Retrospective study.
Middle Aged Postoperative Complications Cerebrospinal Fluid Leak Aged Adult Male Spinal Fusion Lumbar Vertebrae Humans Machine Learning Retrospective Studies Female Risk Factors
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Super-resolution deep learning reconstruction approach for enhanced visualization in lumbar spine MR bone imaging.

European journal of radiology Jul 3, 2024
OBJECTIVES: This study aims to assess the effectiveness of super-resolution deep-learning-based reconstruction (SR-DLR), which leverages k-space data, on the image quality of lumbar spine magnetic resonance (MR) bone imaging using a 3D multi-echo in-...
Spinal Diseases Magnetic Resonance Imaging Lumbar Vertebrae Signal-To-Noise Ratio Middle Aged Deep Learning Imaging, Three-Dimensional Humans Retrospective Studies Female Adult Male Aged Aged, 80 and over
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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...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Lumbar Vertebrae Humans Intervertebral Disc Degeneration Intervertebral Disc Displacement Intervertebral Disc
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