AIMC Topic: Radiography

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Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography.

Journal of digital imaging Mar 11, 2022
Analyzing spinal curvatures manually is time-consuming and tedious for clinicians, and intra-observer and inter-observer variability can affect manual measurements. In this study, we developed and evaluated the performance of an automated deep learni...
Spinal Curvatures Kyphosis Lordosis Computers Humans Reproducibility of Results Deep Learning Radiography Lumbar Vertebrae
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[Artificial intelligence (AI) in radiology? : Do we need as many radiologists in the future?].

Der Urologe. Ausg. A Mar 11, 2022
We are in the middle of a digital revolution in medicine. This raises the question of whether subjects such as radiology, which is superficially concerned with the interpretation of images, will be particularly changed by this revolution. In particul...
Humans Artificial Intelligence Forecasting Radiology Radiologists Radiography
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Determining the anatomical site in knee radiographs using deep learning.

Scientific reports Mar 7, 2022
An important quality criterion for radiographs is the correct anatomical side marking. A deep neural network is evaluated to predict the correct anatomical side in radiographs of the knee acquired in anterior-posterior direction. In this retrospectiv...
Neural Networks, Computer Retrospective Studies Radiography Knee Joint Deep Learning Humans
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Clinical Explainability Failure (CEF) & Explainability Failure Ratio (EFR) - Changing the Way We Validate Classification Algorithms.

Journal of medical systems Mar 5, 2022
Adoption of Artificial Intelligence (AI) algorithms into the clinical realm will depend on their inherent trustworthiness, which is built not only by robust validation studies but is also deeply linked to the explainability and interpretability of th...
Algorithms Radiography Diagnostic Imaging Humans Artificial Intelligence
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Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers.

Journal of digital imaging Mar 3, 2022
Large datasets with high-quality labels required to train deep neural networks are challenging to obtain in the radiology domain. This work investigates the effect of training dataset size on the performance of deep learning classifiers, focusing on ...
Algorithms Deep Learning Radiography Humans Neural Networks, Computer Pneumothorax
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Pediatric age estimation from radiographs of the knee using deep learning.

European radiology Mar 1, 2022
OBJECTIVES: Age estimation, especially in pediatric patients, is regularly used in different contexts ranging from forensic over medicolegal to clinical applications. A deep neural network has been developed to automatically estimate chronological ag...
Adolescent Neural Networks, Computer Child Retrospective Studies Knee Humans Deep Learning Radiography
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Construction of artificial intelligence system of carpal bone age for Chinese children based on China-05 standard.

Medical physics Mar 1, 2022
PURPOSE: The purpose of this study is to construct an automatic carpal bone age evaluation system for Chinese children based on TW3-C Carpal method by deep learning and to evaluate the accuracies in test set and clinical test set.
Infant China Adolescent Artificial Intelligence Infant, Newborn Radiography Age Determination by Skeleton Humans Carpal Bones Child, Preschool Child
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Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment.

Pediatric radiology Feb 28, 2022
BACKGROUND: The autonomous artificial intelligence (AI) system for bone age rating (BoneXpert) was designed to be used in clinical radiology practice as an AI-replace tool, replacing the radiologist completely.
Radiology Age Determination by Skeleton Artificial Intelligence Humans Child Radiography Perception
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An Improved COVID-19 Detection using GAN-Based Data Augmentation and Novel QuNet-Based Classification.

BioMed research international Feb 26, 2022
COVID-19 is a fatal disease caused by the SARS-CoV-2 virus that has caused around 5.3 Million deaths globally as of December 2021. The detection of this disease is a time taking process that have worsen the situation around the globe, and the disease...
Deep Learning Humans Pneumonia Radiography COVID-19 Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted Computer Graphics
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Artificial intelligence-based classification of bone tumors in the proximal femur on plain radiographs: System development and validation.

PloS one Feb 24, 2022
PURPOSE: Early detection and classification of bone tumors in the proximal femur is crucial for their successful treatment. This study aimed to develop an artificial intelligence (AI) model to classify bone tumors in the proximal femur on plain radio...
Femur Artificial Intelligence Bone Neoplasms Algorithms ROC Curve Radiography Humans Reproducibility of Results Image Processing, Computer-Assisted Observer Variation Neural Networks, Computer
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