AIMC Topic: 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 Aged Humans Machine Learning Retrospective Studies Osteoporosis Algorithms Bone Density
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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 Hip Fractures Neural Networks, Computer 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.
Male Female Kaplan-Meier Estimate Risk Assessment Aged Patient Readmission Support Vector Machine Hip Fractures Aged, 80 and over Humans Machine Learning Retrospective Studies
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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.
Retrospective Studies Female Risk Factors Aged Humans Machine Learning Proportional Hazards Models Nomograms Aged, 80 and over Femoral Neck Fractures Male Hip Fractures Risk Assessment
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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...
Adult Deep Learning Area Under Curve Tomography, X-Ray Computed Female Aged Hip Fractures Humans Retrospective Studies
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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.
Robotics Bone Screws Hip Fractures Spinal Fractures Neck Injuries Pelvic Bones Fractures, Bone Fracture Fixation, Internal Male Middle Aged Acetabulum Humans Female Young Adult Adult Aged Aged, 80 and over
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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
Hip Fractures Humans Neural Networks, Computer Machine Learning
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Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.

The Journal of the American Academy of Orthopaedic Surgeons Nov 15, 2021
OBJECTIVES: Accurately stratifying patients in the preoperative period according to mortality risk informs treatment considerations and guides adjustments to bundled reimbursements. We developed and compared three machine learning models to determine...
Machine Learning Female Humans Neural Networks, Computer Hip Fractures Male Logistic Models Bayes Theorem
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[Effect of rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy on postoperative rehabilitation with hip fracture].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion Apr 12, 2021
OBJECTIVE: To compare the therapeutic effect between rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy and simple acupuncture exercise therapy on lower limb function and life activity ability for postoperative pa...
Acupuncture Therapy Hip Fractures Acupuncture Points Treatment Outcome Robotics Exercise Therapy Humans Aged
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Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model.

Journal of orthopaedic trauma Jul 1, 2019
OBJECTIVES: With the transition to a value-based model of care delivery, bundled payment models have been implemented with demonstrated success in elective lower extremity joint arthroplasty. Yet, hip fracture outcomes are dependent on patient-level ...
Health Care Costs Male Middle Aged Length of Stay Machine Learning Female Aged United States Humans Patient Care Bundles Bayes Theorem Health Expenditures Medicare Hip Fractures Arthroplasty, Replacement, Hip
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