AIMC Topic: Hip Fractures

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Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

Archives of physical medicine and rehabilitation Sep 16, 2020
OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation outcomes for postacute hip fracture patients.
Retrospective Studies Female Aged Aged, 80 and over Male Humans Machine Learning Geriatric Assessment Hip Fractures Physical Therapy Modalities Rehabilitation Centers Subacute Care Surveys and Questionnaires Treatment Outcome Occupational Therapy Disability Evaluation
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Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs.

Acta orthopaedica Aug 12, 2020
Background and purpose - Deep-learning approaches based on convolutional neural networks (CNNs) are gaining interest in the medical imaging field. We evaluated the diagnostic performance of a CNN to discriminate femoral neck fractures, trochanteric f...
Male Medical Records, Problem-Oriented Humans Diagnosis, Computer-Assisted Orthopedic Surgeons Radiography Deep Learning Neural Networks, Computer Femoral Neck Fractures Diagnosis, Differential Outcome Assessment, Health Care Female Hip Fractures Aged, 80 and over Femur Sensitivity and Specificity
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The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.

European journal of radiology Jul 23, 2020
PURPOSE: The purpose of our study is to develop deep convolutional neural network (DCNN) for detecting hip fractures using CT and MRI as a gold standard, and to evaluate the diagnostic performance of 7 readers with and without DCNN.
Humans Neural Networks, Computer Tomography, X-Ray Computed Female Deep Learning ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Area Under Curve Aged Aged, 80 and over Male Middle Aged Pelvis Hip Fractures Radiographic Image Enhancement Radiography, Abdominal
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Osteoporotic hip fracture prediction from risk factors available in administrative claims data - A machine learning approach.

PloS one May 19, 2020
OBJECTIVE: Hip fractures are among the most frequently occurring fragility fractures in older adults, associated with a loss of quality of life, high mortality, and high use of healthcare resources. The aim was to apply the superlearner method to pre...
Osteoporotic Fractures Logistic Models Nonlinear Dynamics Hip Fractures Germany Humans Machine Learning Algorithms Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male
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Detection and localisation of hip fractures on anteroposterior radiographs with artificial intelligence: proof of concept.

Clinical radiology Nov 29, 2019
AIM: To investigate the feasibility of applying a deep convolutional neural network (CNN) for detection/localisation of acute proximal femoral fractures (APFFs) on hip radiographs.
Middle Aged Adolescent Feasibility Studies Hip Fractures Humans Proof of Concept Study Aged, 80 and over Artificial Intelligence Adult Retrospective Studies Sensitivity and Specificity Female Male Aged
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Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray Absorptiometry.

Radiology Sep 17, 2019
Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting of fracture prevention therapies. Purpose To determine whether convolutional neural networks (CNNs) can be trained to identify VFs at VF assessment (VF...
Hip Fractures Absorptiometry, Photon Spinal Fractures Osteoporotic Fractures Prognosis Humans Retrospective Studies Neural Networks, Computer Female Aged Male
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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.

European radiology Apr 1, 2019
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the detection and localization of hip fractures on plain frontal pelvic radiographs (PXRs). Hip fracture is a leading worldwide health problem for the elde...
Adult Sensitivity and Specificity Male Middle Aged Prognosis Deep Learning Humans Female ROC Curve Neural Networks, Computer Aged Radiographic Image Interpretation, Computer-Assisted Algorithms False Negative Reactions Aged, 80 and over Feasibility Studies Radiography, Abdominal Hip Fractures Young Adult
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A clinical text classification paradigm using weak supervision and deep representation.

BMC medical informatics and decision making Jan 7, 2019
BACKGROUND: Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine learning approaches have been shown to be effective for clinical text classificatio...
Smoking Algorithms Electronic Health Records Natural Language Processing Humans Hip Fractures Neural Networks, Computer Datasets as Topic Machine Learning
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Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network.

Skeletal radiology Jun 28, 2018
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.
Male Middle Aged Clinical Competence Hip Fractures Femoral Fractures Aged Aged, 80 and over Adult Humans Orthopedic Surgeons Sensitivity and Specificity Neural Networks, Computer Retrospective Studies Female
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Machine Learning Principles Can Improve Hip Fracture Prediction.

Calcified tissue international Feb 14, 2017
Apply machine learning principles to predict hip fractures and estimate predictor importance in Dual-energy X-ray absorptiometry (DXA)-scanned men and women. Dual-energy X-ray absorptiometry data from two Danish regions between 1996 and 2006 were com...
Risk Factors Humans Cohort Studies Osteoporotic Fractures Aged Predictive Value of Tests Machine Learning Male Hip Fractures Bone Density Middle Aged Absorptiometry, Photon Female Risk Assessment
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