AIMC Topic: Hip Fractures

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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...
Humans Neural Networks, Computer Natural Language Processing Machine Learning Algorithms Hip Fractures Electronic Health Records Datasets as Topic Smoking
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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.
Middle Aged Clinical Competence Hip Fractures Femoral Fractures Orthopedic Surgeons Aged, 80 and over Adult Sensitivity and Specificity Male Retrospective Studies Female Aged Humans Neural Networks, Computer
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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...
Aged Male Middle Aged Risk Assessment Bone Density Female Absorptiometry, Photon Humans Cohort Studies Risk Factors Osteoporotic Fractures Machine Learning Predictive Value of Tests Hip Fractures
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Development and validation of explainable machine learning models for female hip osteoporosis using electronic health records.

International journal of medical informatics Jul 1, 2025
BACKGROUND: Hip fractures are associated with reduced mobility, and higher morbidity, mortality, and healthcare costs. Approximately 90% of hip fractures in the elderly are associated with osteoporosis, making it particularly important to screen the ...
Middle Aged Hip Fractures Absorptiometry, Photon Electronic Health Records Female Humans Aged Machine Learning Algorithms Bone Density Retrospective Studies Osteoporosis
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An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians.

Scientific reports May 8, 2025
Accurate diagnosis of orthopedic injuries, especially pelvic and hip fractures, is vital in trauma management. While pelvic radiographs (PXRs) are widely used, misdiagnosis is common. This study proposes an automated system that uses convolutional ne...
Humans Pelvic Bones Radiography Pelvis Neural Networks, Computer Hip Fractures Algorithms Deep Learning
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Machine learning-based survival models for predicting rehospitalization of older hip fracture patients: a retrospective cohort study.

BMC musculoskeletal disorders May 8, 2025
PURPOSE: To evaluate machine learning-based survival model roles in predicting rehospitalization after hip fractures to improve reduce the burden on the healthcare system.
Risk Assessment Support Vector Machine Patient Readmission Hip Fractures Kaplan-Meier Estimate Female Humans Aged Machine Learning Aged, 80 and over Retrospective Studies Male
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All-Cause Mortality Risk in Elderly Patients with Femoral Neck and Intertrochanteric Fractures: A Predictive Model Based on Machine Learning.

Clinical interventions in aging Jan 1, 2025
INTRODUCTION: The aim of this study was to identify the influencing factors for all-cause mortality in elderly patients with intertrochanteric and femoral neck fractures and to construct predictive models.
Machine Learning Retrospective Studies Female Risk Factors Humans Proportional Hazards Models Risk Assessment Nomograms Femoral Neck Fractures Hip Fractures Aged Aged, 80 and over Male
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A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture.

Radiology Jan 1, 2024
Background Patients have the highest risk of subsequent fractures in the first few years after an initial fracture, yet models to predict short-term subsequent risk have not been developed. Purpose To develop and validate a deep learning prediction m...
Female Aged Adult Deep Learning Humans Retrospective Studies Tomography, X-Ray Computed Area Under Curve Hip Fractures
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[Orthopedic robot based on 5G technology for remote navigation of percutaneous screw fixation in pelvic and acetabular fractures].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Aug 15, 2022
OBJECTIVE: To investigate the accuracy and safety of percutaneous screw fixation for pelvic and acetabular fractures with remote navigation of orthopedic robot based on 5G technology.
Fractures, Bone Fracture Fixation, Internal Robotics Bone Screws Hip Fractures Spinal Fractures Male Neck Injuries Aged, 80 and over Middle Aged Humans Young Adult Acetabulum Female Pelvic Bones Adult Aged
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Invited Commentary on: Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.

The Journal of the American Academy of Orthopaedic Surgeons Feb 15, 2022
Humans Hip Fractures Neural Networks, Computer Machine Learning
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