AIMC Topic: Hip Fractures

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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 Bone Screws Hip Fractures Spinal Fractures Neck Injuries Retrospective Studies Acetabulum Fracture Fixation, Internal 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...
Hip Fractures Hip Joint Health Care Costs Humans Machine Learning Radiography
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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...
Radiographic Image Interpretation, Computer-Assisted Hip Fractures Humans Bone Nails Postoperative Complications Artificial Intelligence Femoral Fractures Computational Biology Algorithms Fracture Fixation, Internal Aged Prognosis Aged, 80 and over Female Male Middle Aged
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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...
Humans Algorithms Bone Density Osteoporosis Middle Aged Fractures, Bone Aged, 80 and over Risk Assessment Lumbar Vertebrae Female Adult Deep Learning Hip Fractures Risk Factors Sensitivity and Specificity Absorptiometry, Photon Aged Male
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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...
Neural Networks, Computer Artificial Intelligence Algorithms Deep Learning Humans Pilot Projects Hip Fractures Spinal Fractures
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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...
Deep Learning Hip Fractures Humans Neural Networks, Computer Artificial Intelligence Algorithms
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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 ...
Pelvis Hip Fractures Wounds and Injuries Male Middle Aged Deep Learning ROC Curve Humans Female Algorithms Aged Physicians Adult
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Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably.

Journal of clinical epidemiology Jan 22, 2021
OBJECTIVE: The objective of the study was to compare the performance of logistic regression and boosted trees for predicting patient mortality from large sets of diagnosis codes in electronic healthcare records.
Humans Machine Learning Forecasting Electronic Health Records Female Aged Aged, 80 and over Sex Factors Hip Fractures International Classification of Diseases England Mortality Colorectal Neoplasms Logistic Models Male Age Factors Middle Aged Myocardial Infarction
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Hip Fracture Surgery without Transfusion in Patients with Hemoglobin Less Than 10 g/dL.

Clinics in orthopedic surgery Dec 8, 2020
BACKGROUD: Hip fracture surgery is associated with blood loss, which may lead to adverse patient outcomes. The hemoglobin level declines gradually in most hip fracture cases involving femoral neck fractures and intertrochanteric fractures. It decreas...
Iron Aged Hemoglobins Humans Tranexamic Acid Aged, 80 and over Erythropoietin Retrospective Studies Male Antifibrinolytic Agents Female Trace Elements Hip Fractures
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Classification of femur trochanteric fracture: Evaluating the reliability of Tang classification.

Injury Nov 21, 2020
INTRODUCTION: Given the drawbacks of a femoral intertrochanteric fracture classification based on 2-dimensional radiographic imaging, an artificial intelligence-based classification system- the Tang classification system-which uses 3-dimensional imag...
Observer Variation Femur Artificial Intelligence Reproducibility of Results Hip Fractures Humans
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