AIMC Topic: Bone and Bones

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A real-time automated bone age assessment system based on the RUS-CHN method.

Frontiers in endocrinology Mar 15, 2023
BACKGROUND: Bone age is the age of skeletal development and is a direct indicator of physical growth and development in children. Most bone age assessment (BAA) systems use direct regression with the entire hand bone map or first segmenting the regio...
Bone and Bones Neural Networks, Computer Age Determination by Skeleton Child Bone Development Humans
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A semi-autonomous robot control based on bone layer transition detection for a safe pedicle tapping.

International journal of computer assisted radiology and surgery Mar 6, 2023
PURPOSE: Automatic robotic platforms for robot-aided spinal surgery are mostly employed for drilling the pedicle screw path and do not adapt the tool rotational speed depending on the variation of the bone density. This feature is highly desirable in...
Male Cattle Female Animals Spinal Fusion Bone and Bones Pedicle Screws Robotics Robotic Surgical Procedures Humans Bone Density
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Advances in materials-based therapeutic strategies against osteoporosis.

Biomaterials Feb 20, 2023
Osteoporosis is caused by the disruption in homeostasis between bone formation and bone resorption. Conventional management of osteoporosis involves systematic drug administration and hormonal therapy. These treatment strategies have limited curative...
Humans Artificial Intelligence Hydrogels Biocompatible Materials Osteoporosis Printing, Three-Dimensional Tissue Engineering Bone and Bones
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Self-Supervised Learning for Non-Rigid Registration Between Near-Isometric 3D Surfaces in Medical Imaging.

IEEE transactions on medical imaging Feb 2, 2023
Non-rigid registration between 3D surfaces is an important but notorious problem in medical imaging, because finding correspondences between non-isometric instances is mathematically non-trivial. We propose a novel self-supervised method to learn sha...
Supervised Machine Learning Bone and Bones Neural Networks, Computer Tomography, X-Ray Computed
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Original research: utilization of a convolutional neural network for automated detection of lytic spinal lesions on body CTs.

Skeletal radiology Jan 18, 2023
OBJECTIVE: To develop, train, and test a convolutional neural network (CNN) for detection of spinal lytic lesions in chest, abdomen, and pelvis CT scans.
Pelvis Bone and Bones Humans Neural Networks, Computer Tomography, X-Ray Computed
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Prediction of Bone Healing around Dental Implants in Various Boundary Conditions by Deep Learning Network.

International journal of molecular sciences Jan 18, 2023
Tissue differentiation varies based on patients' conditions, such as occlusal force and bone properties. Thus, the design of the implants needs to take these conditions into account to improve osseointegration. However, the efficiency of the design p...
Osseointegration Bone and Bones Finite Element Analysis Deep Learning Dental Implants Algorithms
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Bone collision detection method for robot assisted fracture reduction based on vibration excitation.

Computer methods and programs in biomedicine Dec 17, 2022
BACKGROUND AND OBJECTIVE: In the process of robotic fracture reduction, there is a risk of unintended collision of broken bones, which is not conducive to ensuring the safety of the reduction system. In order to solve this problem, this paper propose...
Fractures, Bone Robotics Bone and Bones Vibration Humans Fracture Fixation
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Auto-segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning.

Medical physics Sep 23, 2022
BACKGROUND: Routinely delineating of important skeletal growth centers is imperative to mitigate radiation-induced growth abnormalities for pediatric cancer patients treated with radiotherapy. However, it is hindered by several practical problems, in...
Bone and Bones Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiation Oncology Deep Learning Child
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Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy.

Nature biomedical engineering Sep 19, 2022
Obtaining frozen sections of bone tissue for intraoperative examination is challenging. To identify the bony edge of resection, orthopaedic oncologists therefore rely on pre-operative X-ray computed tomography or magnetic resonance imaging. However, ...
Bone and Bones Microscopy, Ultraviolet Tomography, X-Ray Computed Deep Learning Microscopy
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Bone segmentation in contrast enhanced whole-body computed tomography.

Biomedical physics & engineering express Jul 13, 2022
Segmentation of bone regions allows for enhanced diagnostics, disease characterisation and treatment monitoring in CT imaging. In contrast enhanced whole-body scans accurate automatic segmentation is particularly difficult as low dose whole body prot...
Bone and Bones Image Processing, Computer-Assisted Contrast Media Neural Networks, Computer Tomography, X-Ray Computed
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