AIMC Topic: Radiography

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A denoising method based on deep learning for proton radiograph using energy resolved dose function.

Physics in medicine and biology Jan 11, 2024
Proton radiograph has been broadly applied in proton radiotherapy which is affected by scattered protons which result in the lower spatial resolution of proton radiographs than that of x-ray images. Traditional image denoising method may lead to the ...
Deep Learning Proton Therapy Protons Radiation, Ionizing Water Radiography Phantoms, Imaging
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Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects.

Sensors (Basel, Switzerland) Dec 19, 2023
Deep learning has become a powerful tool for solving inverse problems in electromagnetic medical imaging. However, contemporary deep-learning-based approaches are susceptible to inaccuracies stemming from inadequate training datasets, primarily consi...
Electromagnetic Phenomena Electricity Deep Learning Radiography Diagnostic Imaging
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Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning.

Scientific reports Dec 19, 2023
Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is challenging and usually requires large and variable datasets, preferably from multiple institutions. In federated learning (FL), a model is trained colla...
Artificial Intelligence Learning Reproducibility of Results Radiography Generalization, Psychological
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Artificial intelligence for X-ray scaphoid fracture detection: a systematic review and diagnostic test accuracy meta-analysis.

European radiology Dec 15, 2023
OBJECTIVES: Scaphoid fractures are usually diagnosed using X-rays, a low-sensitivity modality. Artificial intelligence (AI) using Convolutional Neural Networks (CNNs) has been explored for diagnosing scaphoid fractures in X-rays. The aim of this syst...
Fractures, Bone Radiography Scaphoid Bone Humans Artificial Intelligence Sensitivity and Specificity
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BoneXpert-derived bone health index reference curves constructed on healthy Indian children and adolescents.

Pediatric radiology Dec 15, 2023
BACKGROUND: Artificial intelligence (AI)-based applications for the assessment of the paediatric musculoskeletal system like BoneXpert are not only useful to assess bone age (BA) but also to provide a bone health index (BHI) and a standard deviation ...
Hand Reference Values Retrospective Studies Female Humans Male Artificial Intelligence Adolescent Bone Density Child Radiography
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Detection of the separated endodontic instrument on periapical radiographs using a deep learning-based convolutional neural network algorithm.

Australian endodontic journal : the journal of the Australian Society of Endodontology Inc Dec 7, 2023
The study evaluated the diagnostic performance of an artificial intelligence system to detect separated endodontic instruments on periapical radiograph radiographs. Three hundred seven periapical radiographs were collected and divided into 222 for tr...
Radiography Algorithms Deep Learning Neural Networks, Computer Artificial Intelligence
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Deep learning prediction of curve severity from rasterstereographic back images in adolescent idiopathic scoliosis.

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 Dec 6, 2023
PURPOSE: Radiation-free systems based on dorsal surface topography can potentially represent an alternative to radiographic examination for early screening of scoliosis, based on the ability of recognizing the presence of deformity or classifying its...
Humans Reproducibility of Results Severity of Illness Index Deep Learning Adolescent Young Adult Cross-Sectional Studies Male Clinical Studies as Topic Anthropometry Scoliosis Predictive Learning Models Radiography Spine Child Photogrammetry Predictive Value of Tests
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Dental bitewing radiographs segmentation using deep learning-based convolutional neural network algorithms.

Oral radiology Dec 4, 2023
OBJECTIVES: Dental radiographs, particularly bitewing radiographs, are widely used in dental diagnosis and treatment Dental image segmentation is difficult for various reasons, such as intricate structures, low contrast, noise, roughness, and unclear...
Image Processing, Computer-Assisted Radiography Algorithms Deep Learning Neural Networks, Computer
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Use of deep learning model for paediatric elbow radiograph binomial classification: initial experience, performance and lessons learnt.

Singapore medical journal Nov 29, 2023
INTRODUCTION: In this study, we aimed to compare the performance of a convolutional neural network (CNN)-based deep learning model that was trained on a dataset of normal and abnormal paediatric elbow radiographs with that of paediatric emergency dep...
Radiography Male Elbow Infant Artificial Intelligence Humans Deep Learning Elbow Joint Emergency Service, Hospital Retrospective Studies Adolescent Neural Networks, Computer Child Female Child, Preschool ROC Curve
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Assessment of inspiration and technical quality in anteroposterior thoracic radiographs using machine learning.

Radiography (London, England : 1995) Nov 29, 2023
INTRODUCTION: Chest radiographs are the most performed radiographic procedure, but suboptimal technical factors can impact clinical interpretation. A deep learning model was developed to assess technical and inspiratory adequacy of anteroposterior ch...
Radiography Kyphosis Machine Learning Retrospective Studies Adult Humans Neural Networks, Computer
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