AIMC Topic: Lumbosacral Region
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Pain phenotypes classified by machine learning using electroencephalography features.
NeuroImage
Aug 29, 2020
Pain is a multidimensional experience mediated by distributed neural networks in the brain. To study this phenomenon, EEGs were collected from 20 subjects with chronic lumbar radiculopathy, 20 age and gender matched healthy subjects, and 17 subjects ...
Robot-assisted treatment of unstable pelvic fractures with a percutaneous iliac lumbar double rod fixation combined with a percutaneous pelvic anterior ring INFIX fixation.
International orthopaedics
Apr 21, 2020
OBJECTIVE: To investigate the clinical effect of robot-assisted treatment of unstable pelvic fractures through a percutaneous iliac lumbar double rod fixation combined with a percutaneous pelvic anterior ring INFIX (internal fixator) fixation.
Lumbosacral Region
Orthopedics
Internal Fixators
Fractures, Bone
Fracture Fixation, Internal
Operative Time
Robotics
Radiography
Robotic Surgical Procedures
Pelvis
Bone Screws
Middle Aged
China
Treatment Outcome
Pelvic Bones
Aged
Young Adult
Adult
Male
Humans
Prospective Studies
Retrospective Studies
Female
Body Composition Analysis of Computed Tomography Scans in Clinical Populations: The Role of Deep Learning.
Lifestyle genomics
Dec 10, 2019
BACKGROUND: Body composition is increasingly being recognized as an important prognostic factor for health outcomes across cancer, liver cirrhosis, and critically ill patients. Computed tomography (CT) scans, when taken as part of routine care, provi...
Humans
Neural Networks, Computer
Tomography, X-Ray Computed
Cost-Benefit Analysis
Muscle, Skeletal
Pattern Recognition, Automated
Adipose Tissue
Reproducibility of Results
Lumbosacral Region
Body Composition
Deep Learning
Subcutaneous Fat
Lumbar Vertebrae
Image Processing, Computer-Assisted
Body Mass Index
Efficacy of Cardiac Rehabilitation with Assistance from Hybrid Assistive Limb in Patients with Chronic Heart Failure: Protocol for a Randomized Controlled Study.
Cardiology
Jun 25, 2019
The hybrid assistive limb (HAL) provides motion assistance based on bioelectrical signals detected on the skin surface when muscle forces are generated. The lumbar-type HAL is expected to expand the therapeutic options for severe cardiac patients who...
Deep Learning-Based Automatic Segmentation of Lumbosacral Nerves on CT for Spinal Intervention: A Translational Study.
AJNR. American journal of neuroradiology
May 30, 2019
BACKGROUND AND PURPOSE: 3D reconstruction of a targeted area ("safe" triangle and Kambin triangle) may benefit the viability assessment of transforaminal epidural steroid injection, especially at the L5/S1 level. However, manual segmentation of lumbo...
Robot-Assisted Versus Fluoroscopy-Guided Pedicle Screw Placement in Transforaminal Lumbar Interbody Fusion for Lumbar Degenerative Disease.
World neurosurgery
Jan 29, 2019
OBJECTIVE: To compare the clinical accuracy and perioperative outcomes for pedicle screw placement in transforaminal lumbar interbody fusion (TLIF) between the robot-assisted (RA) technique and fluoroscopy-guided (FG) technique.
Robot-assisted multi-level anterior lumbar interbody fusion: an anatomical study.
Acta neurochirurgica
Jul 24, 2018
BACKGROUND: Minimally invasive surgical approaches still provide limited exposure. Access to the L2-L5 intervertebral discs during a single procedure is challenging and often requires repositioning of the patient and adopting an alternative approach.
Machine learning analysis of factors contributing to hypotension after lumbosacral epidural anaesthesia in dogs undergoing abdominal surgery.
Scientific reports
May 23, 2025
The incidence of hypotension after a lumbosacral epidural in dogs depends on the volume of local anaesthetic administered. So far, there are no reports comparing both methods used to calculate this volume-body weight (BW) and occipito-coccygeal lengt...
Identification of L5 vertebra on lumbar spine radiographs using deep learning.
The Journal of international medical research
Jan 1, 2024
OBJECTIVE: Deep learning is an advanced machine-learning approach that is used in several medical fields. Here, we developed a deep learning model using an object detection algorithm to identify the L5 vertebra on anteroposterior lumbar spine radiogr...
Deep-learning reconstruction for the evaluation of lumbar spinal stenosis in computed tomography.
Medicine
Jun 9, 2023
To compare the quality and interobserver agreement in the evaluation of lumbar spinal stenosis (LSS) on computed tomography (CT) images between deep-learning reconstruction (DLR) and hybrid iterative reconstruction (hybrid IR). This retrospective stu...
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