AIMC Topic: Femoral Fractures

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Better Rough Than Scarce: Proximal Femur Fracture Segmentation With Rough Annotations.

IEEE transactions on medical imaging Sep 3, 2024
Proximal femoral fracture segmentation in computed tomography (CT) is essential in the preoperative planning of orthopedic surgeons. Recently, numerous deep learning-based approaches have been proposed for segmenting various structures within CT scan...
Humans Algorithms Femur Tomography, X-Ray Computed Femoral Fractures Deep Learning Proximal Femoral Fractures
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AFFnet - a deep convolutional neural network for the detection of atypical femur fractures from anteriorposterior radiographs.

Bone Jul 27, 2024
Despite well-defined criteria for radiographic diagnosis of atypical femur fractures (AFFs), missed and delayed diagnosis is common. An AFF diagnostic software could provide timely AFF detection to prevent progression of incomplete or development of ...
Femoral Fractures Humans Deep Learning Neural Networks, Computer Radiography
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Proximal femur fracture detection on plain radiography via feature pyramid networks.

Scientific reports May 27, 2024
Hip fractures exceed 250,000 cases annually in the United States, with the worldwide incidence projected to increase by 240-310% by 2050. Hip fractures are predominantly diagnosed by radiologist review of radiographs. In this study, we developed a de...
Humans Aged Aged, 80 and over Sensitivity and Specificity Neural Networks, Computer Female Hip Fractures Femoral Fractures Deep Learning Radiography Proximal Femoral Fractures Male Middle Aged
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Robot Navigation System Assisted PFNA Fixation of Femoral Intertrochanteric Fractures in the Elderly: A Retrospective Clinical Study.

Clinical interventions in aging Jan 5, 2024
OBJECTIVE: The incidence of hip fracture in the elderly is increasing. Robot navigation technology has the advantages of minimally invasive and accurate. To explore the difference between the clinical effects of proximal femoral anti-rotation intrame...
Femoral Fractures Hemoglobins Hip Fractures Humans Aged Retrospective Studies Robotics
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Deep-Learning Automation of Preoperative Radiographic Parameters Associated With Early Periprosthetic Femur Fracture After Total Hip Arthroplasty.

The Journal of arthroplasty Nov 23, 2023
BACKGROUND: The radiographic assessment of bone morphology impacts implant selection and fixation type in total hip arthroplasty (THA) and is important to minimize the risk of periprosthetic femur fracture (PFF). We utilized a deep-learning algorithm...
Humans Risk Factors Deep Learning Retrospective Studies Hip Prosthesis Femur Periprosthetic Fractures Femoral Fractures Reoperation Arthroplasty, Replacement, Hip
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Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures.

Computers in biology and medicine Nov 13, 2023
Atypical femur fractures (AFF) represent a very rare type of fracture that can be difficult to discriminate radiologically from normal femur fractures (NFF). AFFs are associated with drugs that are administered to prevent osteoporosis-related fragili...
Osteoporotic Fractures Femur Femoral Fractures Deep Learning Radiography Electronic Health Records Aged Humans
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Detection of incomplete atypical femoral fracture on anteroposterior radiographs via explainable artificial intelligence.

Scientific reports Jun 27, 2023
One of the key aspects of the diagnosis and treatment of atypical femoral fractures is the early detection of incomplete fractures and the prevention of their progression to complete fractures. However, an incomplete atypical femoral fracture can be ...
Femoral Fractures Area Under Curve Radiography Humans Artificial Intelligence
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Vision Transformer for femur fracture classification.

Injury Apr 19, 2022
INTRODUCTION: In recent years, the scientific community focused on developing Computer-Aided Diagnosis (CAD) tools that could improve clinicians' bone fractures diagnosis, primarily based on Convolutional Neural Networks (CNNs). However, the discerni...
Neural Networks, Computer Femoral Fractures Reproducibility of Results Diagnosis, Computer-Assisted Humans Femur
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Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study.

The Lancet. Digital health Apr 5, 2022
BACKGROUND: Proximal femoral fractures are an important clinical and public health issue associated with substantial morbidity and early mortality. Artificial intelligence might offer improved diagnostic accuracy for these fractures, but typical appr...
Humans Deep Learning Emergency Service, Hospital Femoral Fractures Artificial Intelligence Retrospective Studies
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Automatic detection and classification of peri-prosthetic femur fracture.

International journal of computer assisted radiology and surgery Feb 14, 2022
PURPOSE: Object classification and localization is a key task of computer-aided diagnosis (CAD) tool. Although there have been numerous generic deep learning (DL) models developed for CAD, there is no work in the literature to evaluate their effectiv...
Femur Femoral Fractures Humans Deep Learning Diagnosis, Computer-Assisted Radiography
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