AIMC Topic: Radiography

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Olecranon bone age assessment in puberty using a lateral elbow radiograph and a deep-learning model.

European radiology Apr 27, 2024
OBJECTIVES: To improve pubertal bone age (BA) evaluation by developing a precise and practical elbow BA classification using the olecranon, and a deep-learning AI model.
Olecranon Process Elbow Elbow Joint Age Determination by Skeleton Reproducibility of Results Child Male Puberty Deep Learning Radiography Adolescent Humans Retrospective Studies Female
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Predicting osteoporosis from kidney-ureter-bladder radiographs utilizing deep convolutional neural networks.

Bone Apr 25, 2024
Osteoporosis is a common condition that can lead to fractures, mobility issues, and death. Although dual-energy X-ray absorptiometry (DXA) is the gold standard for osteoporosis, it is expensive and not widely available. In contrast, kidney-ureter-bla...
Lumbar Vertebrae Osteoporosis ROC Curve Female Absorptiometry, Photon Humans Aged Kidney Urinary Bladder Neural Networks, Computer Adult Radiography Bone Density Male Middle Aged Deep Learning
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Artificial Intelligence Assistance for the Measurement of Full Alignment Parameters in Whole-Spine Lateral Radiographs.

World neurosurgery Apr 20, 2024
BACKGROUND: Measuring spinal alignment with radiological parameters is essential in patients with spinal conditions likely to be treated surgically. These evaluations are not usually included in the radiological report. As a result, spinal surgeons c...
Humans Artificial Intelligence Male Middle Aged Female Adult Radiography Spine Lordosis
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Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study.

BMC medical imaging Apr 19, 2024
BACKGROUND: The study aimed to develop and validate a deep learning-based Computer Aided Triage (CADt) algorithm for detecting pleural effusion in chest radiographs using an active learning (AL) framework. This is aimed at addressing the critical nee...
Pleural Effusion Radiography, Thoracic Humans Retrospective Studies Deep Learning Radiography
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The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks.

Journal of imaging informatics in medicine Apr 18, 2024
We aimed to develop and validate a deep convolutional neural network (DCNN) model capable of accurately identifying spondylolysis or spondylolisthesis on lateral or dynamic X-ray images. A total of 2449 lumbar lateral and dynamic X-ray images were co...
Humans Male Radiography Neural Networks, Computer Lumbar Vertebrae Female Spondylolisthesis
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Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs.

European radiology Apr 18, 2024
OBJECTIVES: To develop and validate an artificial intelligence (AI) system for measuring and detecting signs of carpal instability on conventional radiographs.
Carpal Joints Joint Instability Wrist Joint Carpal Bones Aged Adult Sensitivity and Specificity Case-Control Studies Radiography Male Middle Aged Artificial Intelligence Retrospective Studies Female Humans
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Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data, and Symptomatic Assessments.

Methods of information in medicine Apr 11, 2024
OBJECTIVE: In this study, we propose a novel framework that utilizes deep learning and attention mechanisms to predict the radiographic progression of patellofemoral osteoarthritis (PFOA) over a period of 7 years.
Middle Aged Female Patellofemoral Joint Radiography Humans Disease Progression Demography Aged Deep Learning Osteoarthritis, Knee Male
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Two-Stage Deep Learning Model for Diagnosis of Lumbar Spondylolisthesis Based on Lateral X-Ray Images.

World neurosurgery Apr 10, 2024
BACKGROUND: Diagnosing early lumbar spondylolisthesis is challenging for many doctors because of the lack of obvious symptoms. Using deep learning (DL) models to improve the accuracy of X-ray diagnoses can effectively reduce missed and misdiagnoses i...
Humans Algorithms Male Middle Aged Deep Learning Radiography Female Aged Adult Lumbar Vertebrae Spondylolisthesis
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Development of an automatic surgical planning system for high tibial osteotomy using artificial intelligence.

The Knee Apr 10, 2024
BACKGROUND: This study proposed an automatic surgical planning system for high tibial osteotomy (HTO) using deep learning-based artificial intelligence and validated its accuracy. The system simulates osteotomy and measures lower-limb alignment param...
Reproducibility of Results Aged Adult Male Humans Artificial Intelligence Female Middle Aged Tibia Surgery, Computer-Assisted Deep Learning Osteoarthritis, Knee Osteotomy Radiography
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From explanation to intervention: Interactive knowledge extraction from Convolutional Neural Networks used in radiology.

PloS one Apr 10, 2024
Deep Learning models such as Convolutional Neural Networks (CNNs) are very effective at extracting complex image features from medical X-rays. However, the limited interpretability of CNNs has hampered their deployment in medical settings as they fai...
Neural Networks, Computer Radiography Radiology
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