AIMC Topic: Lumbar Vertebrae

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Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.

The spine journal : official journal of the North American Spine Society Jan 30, 2025
BACKGROUND CONTEXT: Preoperative risk assessment remains a challenge in spinal fusion operations. Predictive modeling provides data-driven estimates of postsurgical outcomes, guiding clinical decisions and improving patient care. Moreover, automated ...
Aged Adult Male Middle Aged Machine Learning Retrospective Studies Electronic Health Records Female Lumbar Vertebrae Anemia Patient Readmission Preoperative Period Risk Assessment Postoperative Complications Length of Stay Spinal Fusion Humans
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Artificial intelligence for segmentation and classification in lumbar spinal stenosis: an overview of current methods.

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 30, 2025
PURPOSE: Lumbar spinal stenosis (LSS) is a frequently occurring condition defined by narrowing of the spinal or nerve root canal due to degenerative changes. Physicians use MRI scans to determine the severity of stenosis, occasionally complementing i...
Magnetic Resonance Imaging Lumbar Vertebrae Spinal Stenosis Humans Artificial Intelligence Machine Learning
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A deep learning pipeline for systematic and accurate vertebral fracture reporting in computed tomography.

Clinical radiology Jan 25, 2025
AIM: Spine fractures are a frequent and relevant diagnosis, but systematic documentation is time-consuming and sometimes overlooked. A deep learning pipeline for opportunistic fracture detection in computed tomography (CT) spine images of varying fie...
Deep Learning Thoracic Vertebrae Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae Aged, 80 and over Adult Male Middle Aged Spinal Fractures Humans Retrospective Studies Tomography, X-Ray Computed Female Aged
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A novel hybrid deep learning framework based on biplanar X-ray radiography images for bone density prediction and classification.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Jan 15, 2025
UNLABELLED: This study utilized deep learning for bone mineral density (BMD) prediction and classification using biplanar X-ray radiography (BPX) images from Huashan Hospital Medical Checkup Center. Results showed high accuracy and strong correlation...
Humans Aged Aged, 80 and over Adult Male Lumbar Vertebrae Feasibility Studies Absorptiometry, Photon Bone Density Osteoporosis Tomography, X-Ray Computed Female Middle Aged Deep Learning Radiography Radiographic Image Interpretation, Computer-Assisted
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Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods.

Tomography (Ann Arbor, Mich.) Dec 26, 2024
UNLABELLED: Due to the increasing number of people working at computers in professional settings, the incidence of lumbar disc herniation is increasing.
Humans Magnetic Resonance Imaging Algorithms Lumbar Vertebrae Neural Networks, Computer Male Image Interpretation, Computer-Assisted Deep Learning Intervertebral Disc Displacement Support Vector Machine
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Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis.

Journal of medical Internet research Dec 23, 2024
BACKGROUND: Lumbar spinal stenosis (LSS) is a major cause of pain and disability in older individuals worldwide. Although increasing studies of traditional machine learning (TML) and deep learning (DL) were conducted in the field of diagnosing LSS an...
Humans Machine Learning Deep Learning Lumbar Vertebrae Spinal Stenosis
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Deep learning model for automated detection of fresh and old vertebral fractures on thoracolumbar CT.

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 Dec 21, 2024
PURPOSE: To develop a deep learning system for automatic segmentation of compression fracture vertebral bodies on thoracolumbar CT and differentiate between fresh and old fractures.
Spinal Fractures Fractures, Compression Humans Middle Aged Female Prospective Studies Deep Learning Aged Tomography, X-Ray Computed Thoracic Vertebrae Aged, 80 and over Lumbar Vertebrae Male
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Improving the prediction of chemotherapy dose-limiting toxicity in colon cancer patients using an AI-CT-based 3D body composition of the entire L1-L5 lumbar spine.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Dec 21, 2024
PURPOSE: Chemotherapy dose-limiting toxicities (DLT) pose a significant challenge in successful colon cancer treatment. Body composition analysis may enable tailored interventions thereby supporting the mitigation of chemotherapy toxic effects. This ...
Lumbar Vertebrae Colonic Neoplasms Chemotherapy, Adjuvant Antineoplastic Agents Imaging, Three-Dimensional Dose-Response Relationship, Drug Body Composition Humans Aged, 80 and over Adult Artificial Intelligence Male Middle Aged Retrospective Studies Tomography, X-Ray Computed Female Aged
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Developing predictive models for residual back pain after percutaneous vertebral augmentation treatment for osteoporotic thoracolumbar compression fractures based on machine learning technique.

Journal of orthopaedic surgery and research Nov 28, 2024
BACKGROUND: Machine learning (ML) has been widely applied to predict the outcomes of numerous diseases. The current study aimed to develop a prognostic prediction model using machine learning algorithms and identify risk factors associated with resid...
Back Pain Osteoporotic Fractures Male Middle Aged Lumbar Vertebrae Thoracic Vertebrae Humans Female Predictive Value of Tests Machine Learning Risk Factors Spinal Fractures Prognosis Aged Fractures, Compression Retrospective Studies Aged, 80 and over Vertebroplasty
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Automatic 3-D Lamina Curve Extraction From Freehand 3-D Ultrasound Data Using Sequential Localization Recurrent Convolutional Networks.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Freehand 3-D ultrasound imaging is emerging as a promising modality for regular spine exams due to its noninvasiveness and affordability. The laminae landmarks play a critical role in depicting the 3-D shape of the spine. However, the extraction of t...
Female Young Adult Adult Male Spine Humans Deep Learning Lumbar Vertebrae Ultrasonography Algorithms Imaging, Three-Dimensional Thoracic Vertebrae
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