AIMC Topic: Spine
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Advanced machine learning applications in fibromyalgia to assess the relationship between 3D spinal alignment with clinical outcomes.
Scientific reports
Jul 2, 2025
This study leveraged machine learning (ML) models to explore the relationship between three-dimensional (3D) spinal alignment parameters and clinical outcomes in patients suffering from fibromyalgia syndrome (FMS). A cohort of 303 FMS patients, diagn...
AI-based CT assessment of 3117 vertebrae reveals significant sex-specific vertebral height differences.
Scientific reports
Jul 1, 2025
Predicting vertebral height is complex due to individual factors. AI-based medical imaging analysis offers new opportunities for vertebral assessment. Thereby, these novel methods may contribute to sex-adapted nomograms and vertebral height predictio...
LiDSCUNet++: A lightweight depth separable convolutional UNet++ for vertebral column segmentation and spondylosis detection.
Research in veterinary science
May 31, 2025
Accurate computer-aided diagnosis systems rely on precise segmentation of the vertebral column to assist physicians in diagnosing various disorders. However, segmenting spinal disks and bones becomes challenging in the presence of abnormalities and c...
Attention LinkNet-152: a novel encoder-decoder based deep learning network for automated spine segmentation.
Scientific reports
Apr 16, 2025
Segmenting the spine from CT images is crucial for diagnosing and treating spine-related conditions but remains challenging due to the spine's complex anatomy and imaging artifacts. This study introduces a novel encoder-decoder-based deep learning ap...
A prediction model of pediatric bone density from plain spine radiographs using deep learning.
Scientific reports
Apr 15, 2025
Osteoporosis, a bone disease characterized by decreased bone mineral density (BMD) resulting in decreased mechanical strength and an increased fracture risk, remains poorly understood in children. Herein, we developed/validated a deep learning-based ...
The Application of Artificial Intelligence in Spine Surgery: A Scoping Review.
Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews
Apr 10, 2025
BACKGROUND: A comprehensive review on the application of artificial intelligence (AI) within spine surgery as a specialty remains lacking.
SpineMamba: Enhancing 3D spinal segmentation in clinical imaging through residual visual Mamba layers and shape priors.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 22, 2025
Accurate segmentation of three-dimensional (3D) clinical medical images is critical for the diagnosis and treatment of spinal diseases. However, the complexity of spinal anatomy and the inherent uncertainties of current imaging technologies pose sign...
Three-dimensional markerless surface topography approach with convolutional neural networks for adolescent idiopathic scoliosis screening.
Scientific reports
Mar 13, 2025
Adolescent idiopathic scoliosis (AIS) is a three-dimensional lateral and torsional deformity of the spine, affecting up to 5% of the population. Traditional scoliosis screening methods exhibit limited accuracy, leading to unnecessary referrals and ex...
SSAT-Swin: Deep Learning-Based Spinal Ultrasound Feature Segmentation for Scoliosis Using Self-Supervised Swin Transformer.
Ultrasound in medicine & biology
Mar 12, 2025
OBJECTIVE: Scoliosis, a 3-D spinal deformity, requires early detection and intervention. Ultrasound curve angle (UCA) measurement using ultrasound images has emerged as a promising diagnostic tool. However, calculating the UCA directly from ultrasoun...
Metal Suppression Magnetic Resonance Imaging Techniques in Orthopaedic and Spine Surgery.
The Journal of the American Academy of Orthopaedic Surgeons
Mar 11, 2025
Implantation of metallic instrumentation is the mainstay of a variety of orthopaedic and spine surgeries. Postoperatively, imaging of the soft tissues around these implants is commonly required to assess for persistent, recurrent, and/or new patholog...
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