AIMC Topic: Radiography

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The Ability of Deep Learning Models to Identify Total Hip and Knee Arthroplasty Implant Design From Plain Radiographs.

The Journal of the American Academy of Orthopaedic Surgeons Feb 8, 2022
INTRODUCTION: The surgical management of patients with failed total hip or knee arthroplasty (THA and TKA) necessitates the identification of the implant manufacturer and model. Failure to accurately identify implant design leads to delays in care, i...
Humans Radiography Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip Retrospective Studies Deep Learning Knee Prosthesis
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Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models.

Sensors (Basel, Switzerland) Feb 8, 2022
Hospitals, especially their emergency services, receive a high number of wrist fracture cases. For correct diagnosis and proper treatment of these, images obtained from various medical equipment must be viewed by physicians, along with the patient's ...
Wrist Joint Wrist X-Rays Humans Deep Learning Radiography
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A deep learning algorithm to identify cervical ossification of posterior longitudinal ligaments on radiography.

Scientific reports Feb 8, 2022
The cervical ossification of the posterior longitudinal ligament (cOPLL) is sometimes misdiagnosed or overlooked on radiography. Thus, this study aimed to validate the diagnostic yield of our deep learning algorithm which diagnose the presence/absenc...
Male Middle Aged Deep Learning Radiography Case-Control Studies Female Aged Ossification of Posterior Longitudinal Ligament Humans Cervical Vertebrae Image Interpretation, Computer-Assisted
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Machine learning outperforms clinical experts in classification of hip fractures.

Scientific reports Feb 8, 2022
Hip fractures are a major cause of morbidity and mortality in the elderly, and incur high health and social care costs. Given projected population ageing, the number of incident hip fractures is predicted to increase globally. As fracture classificat...
Humans Hip Fractures Machine Learning Radiography Hip Joint Health Care Costs
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Artificial Intelligence in Medical Imaging-Learning From Past Mistakes in Mammography.

JAMA health forum Feb 4, 2022
Radiography Artificial Intelligence Mammography
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Novel-view X-ray projection synthesis through geometry-integrated deep learning.

Medical image analysis Jan 29, 2022
X-ray imaging is a widely used approach to view the internal structure of a subject for clinical diagnosis, image-guided interventions and decision-making. The X-ray projections acquired at different view angles provide complementary information of p...
X-Rays Cone-Beam Computed Tomography Image Processing, Computer-Assisted Radiography Phantoms, Imaging Lung Humans Deep Learning Algorithms
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Artificial Intelligence for Classifying and Archiving Orthodontic Images.

BioMed research international Jan 27, 2022
One of the main requirements for orthodontic treatment is continuous image acquisition. However, the conventional system of orthodontic image acquisition, which includes manual classification, archiving, and monitoring, is time-consuming and prone to...
Artificial Intelligence Humans Deep Learning Radiography
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Postprocedural Pneumothorax Detection by Deep Learning on Chest Radiographs.

Radiology Jan 25, 2022
Pneumothorax Deep Learning Radiography Biopsy, Needle Humans
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External validation of deep learning-based bone-age software: a preliminary study with real world data.

Scientific reports Jan 24, 2022
Artificial intelligence (AI) is increasingly being used in bone-age (BA) assessment due to its complicated and lengthy nature. We aimed to evaluate the clinical performance of a commercially available deep learning (DL)-based software for BA assessme...
Age Determination by Skeleton Female Hand Bones Deep Learning Humans Male Child, Preschool Adolescent Radiography Child Feasibility Studies
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Accuracy of auto-identification of the posteroanterior cephalometric landmarks using cascade convolution neural network algorithm and cephalometric images of different quality from nationwide multiple centers.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Jan 21, 2022
INTRODUCTION: The purpose of this study was to evaluate the accuracy of auto-identification of the posteroanterior (PA) cephalometric landmarks using the cascade convolution neural network (CNN) algorithm and PA cephalogram images of a different qual...
Anatomic Landmarks Cephalometry Algorithms Reproducibility of Results Humans Radiography Neural Networks, Computer
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