AIMC Topic: Developmental Dysplasia of the Hip

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A dataset for quality evaluation of pelvic X-ray and diagnosis of developmental dysplasia of the hip.

Scientific data May 26, 2025
Developmental Dysplasia of the Hip (DDH) stands as one of the preeminent hip disorders prevalent in pediatric orthopedics. Automated diagnostic instruments, driven by artificial intelligence methodologies, are capable of providing substantial assista...
Radiography Pelvis Developmental Dysplasia of the Hip Humans
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SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip.

Ultrasound in medicine & biology Feb 19, 2025
Developmental dysplasia of the hip (DDH) is a painful orthopedic malformation diagnosed at birth in 1-3% of all newborns. Left untreated, DDH can lead to significant morbidity including long-term disability. Currently the condition is clinically diag...
Humans Female Imaging, Three-Dimensional Developmental Dysplasia of the Hip Infant, Newborn Infant Male Deep Learning Ultrasonography
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Deep learning-based automated guide for defining a standard imaging plane for developmental dysplasia of the hip screening using ultrasonography: a retrospective imaging analysis.

BMC medical informatics and decision making Feb 18, 2025
BACKGROUND: We aimed to propose a deep-learning neural network model for automatically detecting five landmarks during a two-dimensional (2D) ultrasonography (US) scan to develop a standard plane for developmental dysplasia of the hip (DDH) screening...
Infant Deep Learning Ultrasonography Female Male Anatomic Landmarks Developmental Dysplasia of the Hip Humans Neural Networks, Computer Retrospective Studies
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Deep learning-based automated measurement of hip key angles and auxiliary diagnosis of developmental dysplasia of the hip.

BMC musculoskeletal disorders Nov 13, 2024
OBJECTIVES: Anteroposterior pelvic radiographs remains the most widely employed method for diagnosing developmental dysplasia of the hip. This study aims to evaluate the accuracy of an artificial intelligence model in measuring angles in pelvic radio...
Deep Learning Adolescent Child, Preschool Middle Aged Infant Developmental Dysplasia of the Hip Child Radiography Hip Joint Female Reproducibility of Results Young Adult Adult Male Humans Artificial Intelligence Retrospective Studies
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The diagnostic value of artificial intelligence-assisted imaging for developmental dysplasia of the hip: a systematic review and meta-analysis.

Journal of orthopaedic surgery and research Aug 29, 2024
OBJECTIVE: To clarify the efficacy of artificial intelligence (AI)-assisted imaging in the diagnosis of developmental dysplasia of the hip (DDH) through a meta-analysis.
Humans Artificial Intelligence Prospective Studies Sensitivity and Specificity Developmental Dysplasia of the Hip Infant Hip Dislocation, Congenital
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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...
Radiography Developmental Dysplasia of the Hip Humans Infant, Newborn Neural Networks, Computer Male Machine Learning Infant Algorithms Female
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A novel approach for screening standard anteroposterior pelvic radiographs in children.

European journal of pediatrics Aug 24, 2023
UNLABELLED: Anteroposterior pelvic radiography is the first-line imaging modality for diagnosing developmental dysplasia of the hip (DDH). Nonstandard radiographs with pelvic malposition make the correct diagnosis of DDH challenging. However, as the ...
Developmental Dysplasia of the Hip Child Radiography Humans Pelvis Artificial Intelligence Retrospective Studies
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Diagnosis of Developmental Dysplasia of the Hip by Ultrasound Imaging Using Deep Learning.

Journal of pediatric orthopedics May 12, 2023
BACKGROUND: A timely diagnosis of developmental dysplasia of the hip (DDH) is important for satisfactory clinical outcomes. Ultrasonography is a useful tool for DDH screening; however, it is technically demanding. We hypothesized that deep learning c...
Humans Artificial Intelligence Retrospective Studies Hip Dislocation, Congenital Developmental Dysplasia of the Hip Infant Deep Learning Ultrasonography
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Diagnostic accuracy of a deep learning model using YOLOv5 for detecting developmental dysplasia of the hip on radiography images.

Scientific reports Apr 24, 2023
Developmental dysplasia of the hip (DDH) is a cluster of hip development disorders and one of the most common hip diseases in infants. Hip radiography is a convenient diagnostic tool for DDH, but its diagnostic accuracy is dependent on the interprete...
Hip Dislocation, Congenital Developmental Dysplasia of the Hip Infant Humans Deep Learning Radiography
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The Diagnosis of Developmental Dysplasia of the Hip From Hip Ultrasonography Images With Deep Learning Methods.

Journal of pediatric orthopedics Nov 4, 2022
BACKGROUND: Hip ultrasonography is very important in the early diagnosis of developmental dysplasia of the hip. The application of deep learning-based medical image analysis to computer-aided diagnosis has the potential to provide decision-making sup...
Developmental Dysplasia of the Hip Deep Learning Humans Ultrasonography Diagnosis, Computer-Assisted Hip Dislocation, Congenital
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