AIMC Topic: Hip Fractures

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Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study.

Journal of digital imaging Jun 16, 2022
The characteristics of bone fragments are the main influencing factors for the choice of treatment in intertrochanteric fractures. This study aimed to develop a deep learning algorithm for recognizing and segmenting individual fragments in CT images ...
Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Humans Deep Learning Image Processing, Computer-Assisted Hip Fractures
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Beyond the : Validation and Algorithmic Audit of a Deep Learning System to Detect Hip Fractures Radiographically.

AJR. American journal of roentgenology Jun 8, 2022
Humans Deep Learning Hip Fractures
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Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.

BMC geriatrics May 24, 2022
BACKGROUND: Fragility hip fracture increases morbidity and mortality in older adult patients, especially within the first year. Identification of patients at high risk of death facilitates modification of associated perioperative factors that can red...
Bayes Theorem Hip Fractures Humans Machine Learning Retrospective Studies Aged Thailand
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The Kocher-Langenbeck approach combined with robot-aided percutaneous anterior column screw fixation for transverse-oriented acetabular fractures: a retrospective study.

BMC musculoskeletal disorders Apr 11, 2022
OBJECTIVE: Transverse-oriented acetabular fractures (TOAFs), including transverse, transverse with posterior wall and T-shaped fractures, are always challenging for double-column reduction and fixation with minimally invasive method. The purpose of t...
Humans Retrospective Studies Neck Injuries Bone Screws Acetabulum Hip Fractures Fracture Fixation, Internal Spinal Fractures Robotics
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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 Machine Learning Health Care Costs Radiography Hip Fractures Hip Joint
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X-Ray Film under Artificial Intelligence Algorithm in the Evaluation for Nursing Effect of Gamma Nail Internal Fixation in Elderly Patients with Intertrochanteric Fracture of Femur.

Computational and mathematical methods in medicine Nov 30, 2021
The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteric fracture of femur by X-ray film classification and recognition method based on artificial intelligence algorithm. The study subjects were 100 elderl...
Bone Nails Femoral Fractures Fracture Fixation, Internal Radiographic Image Interpretation, Computer-Assisted Hip Fractures Aged Algorithms Humans Middle Aged Aged, 80 and over Prognosis Artificial Intelligence Postoperative Complications Male Female Computational Biology
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Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning.

Nature communications Sep 16, 2021
Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and evaluate fracture risk. We present an automated tool to identify fractures, predict BMD, and evaluate fracture risk using plain radiographs. The tool pe...
Absorptiometry, Photon Fractures, Bone Lumbar Vertebrae Hip Fractures Adult Sensitivity and Specificity Male Middle Aged Risk Assessment Deep Learning Risk Factors Humans Osteoporosis Aged Algorithms Female Aged, 80 and over Bone Density
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Deep Learning in the Detection of Rare Fractures - Development of a "Deep Learning Convolutional Network" Model for Detecting Acetabular Fractures.

Zeitschrift fur Orthopadie und Unfallchirurgie Jul 26, 2021
BACKGROUND: Fracture detection by artificial intelligence and especially Deep Convolutional Neural Networks (DCNN) is a topic of growing interest in current orthopaedic and radiological research. As learning a DCNN usually needs a large amount of tra...
Artificial Intelligence Pilot Projects Algorithms Hip Fractures Humans Spinal Fractures Deep Learning Neural Networks, Computer
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Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study.

BMC musculoskeletal disorders May 3, 2021
BACKGROUND: Less experienced clinicians sometimes make misdiagnosis of hip fractures. We developed computer-aided diagnosis (CAD) system for hip fractures on plain X-rays using a deep learning model trained on a large dataset. In this study, we exami...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Deep Learning Hip Fractures
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A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs.

Nature communications Feb 16, 2021
Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in trauma patients, which is also the key component for trauma survey. None of the currently available algorithms can accurately detect all kinds of trauma-related ...
Wounds and Injuries Aged Humans ROC Curve Adult Algorithms Pelvis Middle Aged Male Hip Fractures Physicians Deep Learning Female
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