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Scoliosis

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Vertebrae Segmentation with Generative Adversarial Networks for Automatic Cobb Angle Measurement.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40038934
Scoliosis is a lateral deformity of the spine, usually diagnosed in patients with a Cobb angle (CA) greater than 10°. Accurate measurements of the CA are necessary for timely intervention and subsequent effective treatment of scoliosis. However, the ...
Algorithms Generative Adversarial Networks Humans Image Processing, Computer-Assisted Neural Networks, Computer Scoliosis Spine
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EUFormer: Learning Driven 3D Spine Deformity Assessment with Orthogonal Optical Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40031474
In clinical settings, the screening, diagnosis, and monitoring of adolescent idiopathic scoliosis (AIS) typically involve physical or radiographic examinations. However, physical examinations are subjective, while radiographic examinations expose pat...
Adolescent Algorithms Humans Imaging, Three-Dimensional Machine Learning Optical Imaging Scoliosis Spine
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Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society 39908630
Adolescent Idiopathic Scoliosis (AIS) is a prevalent structural deformity disease of human spine, and accurate assessment of spinal anatomical parameters is essential for clinical diagnosis and treatment planning. In recent years, significant progres...
Adolescent Algorithms Anatomic Landmarks Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Scoliosis Spine
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Feasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis.

European radiology experimental 39881022
BACKGROUND: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (AIS). Generative adversarial networks (GANs) have emerged as valuable tools being able to generate high-quality synthetic images. This study explores ...
Adolescent Child Deep Learning Feasibility Studies Female Humans Male Radiography Scoliosis
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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery.

Scientific reports 39870730
With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scoliosis (AIS) can be guided more effectively. However, surgical decision-making and optimal strategies still lack standardization and personalized customiz...
Adolescent Child Clinical Decision-Making Decision Making Deep Learning Female Humans Male Neural Networks, Computer Scoliosis Spinal Fusion Treatment Outcome
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Machine Learning-based Cluster Analysis Identifies Three Unique Phenotypes of Patients With Adult Spinal Deformity With Distinct Clinical Profiles and Long-term Recovery Trajectory: A Development Study.

Spine 39835369
STUDY DESIGN: A retrospective review of a prospective adult spinal deformity data.
Adult Aged Cluster Analysis Female Humans Machine Learning Male Middle Aged Phenotype Recovery of Function Retrospective Studies Scoliosis Spinal Curvatures
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Deep learning-assisted screening and diagnosis of scoliosis: segmentation of bare-back images via an attention-enhanced convolutional neural network.

Journal of orthopaedic surgery and research 39953540
BACKGROUND: Traditional diagnostic tools for scoliosis screening necessitate a substantial number of specialized personnel and equipment, leading to inconvenience that can result in missed opportunities for early diagnosis and optimal treatment. We h...
Adolescent Back Child Convolutional Neural Networks Deep Learning Female Humans Male Mass Screening Neural Networks, Computer Scoliosis
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Three-dimensional markerless surface topography approach with convolutional neural networks for adolescent idiopathic scoliosis screening.

Scientific reports 40082488
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...
Adolescent Child Convolutional Neural Networks Female Humans Imaging, Three-Dimensional Male Neural Networks, Computer Scoliosis Spine
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SSAT-Swin: Deep Learning-Based Spinal Ultrasound Feature Segmentation for Scoliosis Using Self-Supervised Swin Transformer.

Ultrasound in medicine & biology 40082183
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...
Adolescent Child Deep Learning Female Humans Image Interpretation, Computer-Assisted Male Scoliosis Spine Ultrasonography
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A deep learning model for radiological measurement of adolescent idiopathic scoliosis using biplanar radiographs.

Journal of orthopaedic surgery and research 40038733
BACKGROUND: Accurate measurement of the spinal alignment parameters is crucial for diagnosing and evaluating adolescent idiopathic scoliosis (AIS). Manual measurement is subjective and time-consuming. The recently developed artificial intelligence mo...
Adolescent Child Deep Learning Female Humans Male Radiography Scoliosis
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