AIMC Topic: Spine

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Shape completion in the dark: completing vertebrae morphology from 3D ultrasound.

International journal of computer assisted radiology and surgery May 15, 2024
PURPOSE: Ultrasound (US) imaging, while advantageous for its radiation-free nature, is challenging to interpret due to only partially visible organs and a lack of complete 3D information. While performing US-based diagnosis or investigation, medical ...
Ultrasonography Imaging, Three-Dimensional Anatomic Landmarks Spine Humans Deep Learning
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A Fast Online Elastic-Spine-Based Stiffness Adjusting Mechanism for Fishlike Swimming.

Soft robotics Apr 22, 2024
Fish tunes fishtail stiffness by coordinating its tendons, muscles, and other tissues to improve swimming performance. For robotic fish, achieving a fast and online fishlike stiffness adjustment over a large-scale range is of great significance for p...
Elasticity Animals Robotics Equipment Design Spine Fishes Swimming Biomechanical Phenomena
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Artificial Intelligence Assistance for the Measurement of Full Alignment Parameters in Whole-Spine Lateral Radiographs.

World neurosurgery Apr 20, 2024
BACKGROUND: Measuring spinal alignment with radiological parameters is essential in patients with spinal conditions likely to be treated surgically. These evaluations are not usually included in the radiological report. As a result, spinal surgeons c...
Spine Lordosis Male Middle Aged Radiography Female Adult Humans Artificial Intelligence
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An Automated Multi-scale Feature Fusion Network for Spine Fracture Segmentation Using Computed Tomography Images.

Journal of imaging informatics in medicine Apr 15, 2024
Spine fractures represent a critical health concern with far-reaching implications for patient care and clinical decision-making. Accurate segmentation of spine fractures from medical images is a crucial task due to its location, shape, type, and sev...
Female Reproducibility of Results Aged Neural Networks, Computer Tomography, X-Ray Computed Male Middle Aged Deep Learning Predictive Value of Tests Aged, 80 and over Young Adult Adult Spinal Fractures Spine Image Interpretation, Computer-Assisted Datasets as Topic
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Development of a deep-learning algorithm for age estimation on CT images of the vertebral column.

Legal medicine (Tokyo, Japan) Apr 7, 2024
PURPOSE: The accurate age estimation of cadavers is essential for their identification. However, conventional methods fail to yield adequate age estimation especially in elderly cadavers. We developed a deep learning algorithm for age estimation on C...
Adolescent Spine Cadaver Male Middle Aged Tomography, X-Ray Computed Humans Age Determination by Skeleton Deep Learning Female Algorithms Aged Aged, 80 and over Young Adult Adult
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Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters.

Journal of neurosurgery. Spine Mar 29, 2024
OBJECTIVE: Achieving appropriate spinopelvic alignment has been shown to be associated with improved clinical symptoms. However, measurement of spinopelvic radiographic parameters is time-intensive and interobserver reliability is a concern. Automate...
Radiography Pelvis Spine Lumbar Vertebrae Lordosis Adult Male Middle Aged Humans Artificial Intelligence Female Reproducibility of Results
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Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.

Frontiers in endocrinology Mar 28, 2024
PURPOSE: To develop and validate a deep learning radiomics (DLR) model that uses X-ray images to predict the classification of osteoporotic vertebral fractures (OVFs).
X-Rays Spine Humans Osteoporotic Fractures Radiomics Random Allocation Deep Learning Spinal Fractures
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Correlative Assessment of Machine Learning-Based Cobb Angle Measurements and Human-Based Measurements in Adolescent Idiopathic and Congenital Scoliosis.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Mar 27, 2024
Scoliosis is a complex spine deformity with direct functional and cosmetic impacts on the individual. The reference standard for assessing scoliosis severity is the Cobb angle which is measured on radiographs by human specialists, carrying interobse...
Humans Radiography Male Spine Machine Learning Adolescent Scoliosis Retrospective Studies Child Female
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Preserving privacy in big data research: the role of federated learning in spine surgery.

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 Feb 25, 2024
PURPOSE: Integrating machine learning models into electronic medical record systems can greatly enhance decision-making, patient outcomes, and value-based care in healthcare systems. Challenges related to data accessibility, privacy, and sharing can ...
Humans Machine Learning Privacy Orthopedic Procedures Electronic Health Records Big Data Spine
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Dynamic assessment of spine movement patterns using an RGB-D camera and deep learning.

Journal of biomechanics Feb 22, 2024
In clinical practice, functional limitations in patients with low back pain are subjectively assessed, potentially leading to misdiagnosis and prolonged pain. This paper proposes an objective deep learning (DL) markerless motion capture system that u...
Movement Range of Motion, Articular Low Back Pain Humans Biomechanical Phenomena Lumbosacral Region Deep Learning Spine
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