AIMC Topic: Radiography

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Enhancing fracture diagnosis in pelvic X-rays by deep convolutional neural network with synthesized images from 3D-CT.

Scientific reports Apr 5, 2024
Pelvic fractures pose significant challenges in medical diagnosis due to the complex structure of the pelvic bones. Timely diagnosis of pelvic fractures is critical to reduce complications and mortality rates. While computed tomography (CT) is highly...
Humans Fractures, Bone Radiography X-Rays Neural Networks, Computer Tomography, X-Ray Computed
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Supervised representation learning based on various levels of pediatric radiographic views for transfer learning.

Scientific reports Mar 30, 2024
Transfer learning plays a pivotal role in addressing the paucity of data, expediting training processes, and enhancing model performance. Nonetheless, the prevailing practice of transfer learning predominantly relies on pre-trained models designed fo...
Fractures, Bone Humans Radiography Machine Learning Deep Learning Child
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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...
Reproducibility of Results Adult Artificial Intelligence Middle Aged Female Lordosis Pelvis Male Lumbar Vertebrae Radiography Humans Spine
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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...
Spine Scoliosis Machine Learning Child Retrospective Studies Radiography Humans Male Adolescent Female
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Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis.

Artificial intelligence in medicine Mar 14, 2024
Osteoarthritis of the knee, a widespread cause of knee disability, is commonly treated in orthopedics due to its rising prevalence. Lower extremity misalignment, pivotal in knee injury etiology and management, necessitates comprehensive mechanical al...
Knee Joint Humans Deep Learning Retrospective Studies Lower Extremity Reproducibility of Results Radiography
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Automatic estimation of hallux valgus angle using deep neural network with axis-based annotation.

Skeletal radiology Mar 13, 2024
OBJECTIVES: We developed the deep neural network (DNN) model to automatically measure hallux valgus angle (HVA) and intermetatarsal angle (IMA) on foot radiographs. The objective is to assess the accuracy of the model by comparing to the manual measu...
Middle Aged Radiography Radiographic Image Interpretation, Computer-Assisted Adult Male Metatarsal Bones Hallux Valgus Humans Neural Networks, Computer Female Aged Retrospective Studies
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External validation of a deep learning model for predicting bone mineral density on chest radiographs.

Archives of osteoporosis Mar 13, 2024
UNLABELLED: We developed a new model for predicting bone mineral density on chest radiographs and externally validated it using images captured at facilities other than the development environment. The model performed well and showed potential for cl...
Humans Bone Density Osteoporosis Absorptiometry, Photon Deep Learning Radiography
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Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds.

PloS one Mar 12, 2024
Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19, lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest disorders medical professionals may be thrown off by the overlapping symptoms (...
Lung Neoplasms Tomography, X-Ray Computed Humans Cough Radiography Deep Learning COVID-19
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Full-length radiograph based automatic musculoskeletal modeling using convolutional neural network.

Journal of biomechanics Mar 9, 2024
Full-length radiographs contain information from which many anatomical parameters of the pelvis, femur, and tibia may be derived, but only a few anatomical parameters are used for musculoskeletal modeling. This study aimed to develop a fully automati...
Neural Networks, Computer Image Processing, Computer-Assisted Radiography Tibia Pelvis Femur
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Evolution in Development of a Predictive Deep-Learning Model for Total Hip Replacement Based on Radiographs: Commentary on an article by Yi Xu, MD, et al.: "Development and Validation of a Deep-Learning Model to Predict Total Hip Replacement on Radiographs. The Total Hip Replacement Prediction (THREP) Model".

The Journal of bone and joint surgery. American volume Mar 6, 2024
Radiography Arthroplasty, Replacement, Hip Humans Deep Learning
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