AIMC Topic: Hip Dislocation, Congenital

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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 Infant Hip Dislocation, Congenital Developmental Dysplasia of the Hip Prospective Studies Sensitivity and Specificity
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Application of deep learning for automated diagnosis and classification of hip dysplasia on plain radiographs.

BMC musculoskeletal disorders Feb 9, 2024
BACKGROUND: Hip dysplasia is a condition where the acetabulum is too shallow to support the femoral head and is commonly considered a risk factor for hip osteoarthritis. The objective of this study was to develop a deep learning model to diagnose hip...
Hip Dislocation Radiography Hip Dislocation, Congenital Humans Retrospective Studies Pilot Projects Acetabulum Deep Learning
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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...
Artificial Intelligence Retrospective Studies Infant Humans Hip Dislocation, Congenital Developmental Dysplasia of the Hip 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...
Deep Learning Radiography Hip Dislocation, Congenital Humans Infant Developmental Dysplasia of the Hip
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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...
Diagnosis, Computer-Assisted Deep Learning Hip Dislocation, Congenital Developmental Dysplasia of the Hip Ultrasonography Humans
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Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip.

International journal of computer assisted radiology and surgery May 9, 2021
PURPOSE: Estimating uncertainty in predictions made by neural networks is critically important for increasing the trust medical experts have in automatic data analysis results. In segmentation tasks, quantifying levels of confidence can provide meani...
Neural Networks, Computer Reproducibility of Results Bayes Theorem Humans Image Processing, Computer-Assisted Hip Dislocation, Congenital Diagnostic Imaging Child Uncertainty
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Model construction and application for automated measurement of CE angle on pelvis orthograph based on MASK-R-CNN algorithm.

Biomedical physics & engineering express Apr 14, 2021
Developmental dysplasia of the hip (DDH) is a common orthopedic disease. A simple and cost-effective scientific tool for assisting the early diagnosis of DDH is urgently needed. This study proposed a new artificial intelligence (AI) model for automat...
Pelvis Hip Dislocation, Congenital Algorithms Acetabulum Humans Artificial Intelligence
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Accuracy of Trained Physicians is Inferior to Deep Learning-Based Algorithm for Determining Angles in Ultrasound of the Newborn Hip.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Aug 6, 2020
PURPOSE:  Sonographic diagnosis of developmental dysplasia of the hip allows treatment with a flexion-abduction orthosis preventing hip luxation. Accurate determination of alpha and beta angles according to Graf is crucial for correct diagnosis. It i...
Ultrasonography Automation Hip Dislocation, Congenital Infant, Newborn Deep Learning Humans Physicians
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Deep Convolutional Neural Network-Based Automatic Classification of Neonatal Hip Ultrasound Images: A Novel Data Augmentation Approach with Speckle Noise Reduction.

Ultrasound in medicine & biology Dec 25, 2019
Neonatal hip ultrasound imaging has been widely used for a few decades in the diagnosis of developmental dysplasia of the hip (DDH). Graf's method of hip ultrasonography is still the most reproducible because of its classification system; yet, the re...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Signal-To-Noise Ratio Hip Dislocation, Congenital Infant, Newborn Ultrasonography
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Acetabular index is the best predictor of late residual acetabular dysplasia after closed reduction in developmental dysplasia of the hip.

International orthopaedics Dec 29, 2017
PURPOSE: Our objective was to find the best predictor of late residual acetabular dysplasia in developmental dysplasia of the hip (DDH) after closed reduction (CR) and discuss the indications for secondary surgery.
Infant Treatment Outcome Bone Diseases, Developmental Female Casts, Surgical Hip Dislocation, Congenital Male Acetabulum Manipulation, Orthopedic Humans Retrospective Studies
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