AIMC Topic: Radiography

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Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.

Medical & biological engineering & computing Aug 16, 2024
The magnetically controlled growing rod technique is an effective surgical treatment for children who have early-onset scoliosis. The length of the instrumented growing rods is adjusted regularly to compensate for the normal growth of these patients....
Radiography Scoliosis Male Child, Preschool Child Female Reproducibility of Results Humans Machine Learning Algorithms
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Research Note: A deep learning method segments chicken keel bones from whole-body X-ray images.

Poultry science Aug 13, 2024
Most commercial laying hens suffer from sternum (keel) bone damage including deviations and fractures. X-raying hens, followed by segmenting and assessing the keel bone, is a key to automating the monitoring of keel bone condition. The aim of the cur...
Radiography Sternum Whole Body Imaging Deep Learning Image Processing, Computer-Assisted Female Chickens Animals
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Deep learning-based automated angle measurement for flatfoot diagnosis in weight-bearing lateral radiographs.

Scientific reports Aug 8, 2024
This study aimed to develop and evaluate a deep learning-based system for the automatic measurement of angles (specifically, Meary's angle and calcaneal pitch) in weight-bearing lateral radiographs of the foot for flatfoot diagnosis. We utilized 3960...
Deep Learning Adolescent Radiography Adult Male Middle Aged Foot Weight-Bearing Flatfoot Humans Female Aged Young Adult
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Ethical, legal, and regulatory landscape of artificial intelligence in Australian healthcare and ethical integration in radiography: A narrative review.

Journal of medical imaging and radiation sciences Aug 6, 2024
This narrative review explores the ethical, legal, and regulatory landscape of AI integration in Australian healthcare, focusing on radiography. It examines the current legislative framework, assesses the trust and reliability of AI tools, and propos...
Humans Artificial Intelligence Australia Radiography
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Comparison of three artificial intelligence algorithms for automatic cobb angle measurement using teaching data specific to three disease groups.

Scientific reports Aug 3, 2024
Spinal deformities, including adolescent idiopathic scoliosis (AIS) and adult spinal deformity (ASD), affect many patients. The measurement of the Cobb angle on coronal radiographs is essential for their diagnosis and treatment planning. To enhance t...
Young Adult Spine Adult Artificial Intelligence Scoliosis Male Adolescent Child Algorithms Humans Radiography Female
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Bimodal machine learning model for unstable hips in infants: integration of radiographic images with automatically-generated clinical measurements.

Scientific reports Aug 1, 2024
Bimodal convolutional neural networks (CNNs) are frequently combined with patient information or several medical images to enhance the diagnostic performance. However, the technologies that integrate automatically generated clinical measurements with...
Neural Networks, Computer Machine Learning Algorithms Infant Female Humans Radiography Infant, Newborn Developmental Dysplasia of the Hip Male
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AFFnet - a deep convolutional neural network for the detection of atypical femur fractures from anteriorposterior radiographs.

Bone Jul 27, 2024
Despite well-defined criteria for radiographic diagnosis of atypical femur fractures (AFFs), missed and delayed diagnosis is common. An AFF diagnostic software could provide timely AFF detection to prevent progression of incomplete or development of ...
Deep Learning Humans Radiography Neural Networks, Computer Femoral Fractures
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Deep learning classification of pediatric spinal radiographs for use in large scale imaging registries.

Spine deformity Jul 22, 2024
PURPOSE: The purpose of this study is to develop and apply an algorithm that automatically classifies spine radiographs of pediatric scoliosis patients.
Humans Algorithms Adolescent Scoliosis Child Registries Radiography Spine Female Male Deep Learning
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Radiograph-based rheumatoid arthritis diagnosis via convolutional neural network.

BMC medical imaging Jul 22, 2024
OBJECTIVES: Rheumatoid arthritis (RA) is a severe and common autoimmune disease. Conventional diagnostic methods are often subjective, error-prone, and repetitive works. There is an urgent need for a method to detect RA accurately. Therefore, this st...
Hand Arthritis, Rheumatoid Radiography Radiographic Image Interpretation, Computer-Assisted Humans Sensitivity and Specificity Neural Networks, Computer Male Female Deep Learning
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Artificial intelligence-based assessment of leg axis parameters shows excellent agreement with human raters: A systematic review and meta-analysis.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jul 21, 2024
PURPOSE: The aim of this study was to conduct a systematic review and meta-analysis on the reliability and applicability of artificial intelligence (AI)-based analysis of leg axis parameters. We hypothesized that AI-based leg axis measurements would ...
Reproducibility of Results Radiography Knee Joint Tibia Hip Joint Femur Humans Artificial Intelligence Leg
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