AIMC Topic: Hip Fractures

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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery.

Scientific reports Jul 2, 2025
Hip fractures among the elderly population continue to present significant risks and high mortality rates despite advancements in surgical procedures. In this study, we developed machine learning (ML) algorithms to estimate 30-day mortality risk post...
Male ROC Curve Hip Fractures Humans Algorithms Machine Learning Female Aged Aged, 80 and over
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Automatic pain classification in older patients with hip fracture based on multimodal information fusion.

Scientific reports Jul 1, 2025
Given the limitations of unimodal pain recognition approaches, this study aimed to develop a multimodal pain recognition system for older patients with hip fractures using multimodal information fusion. The proposed system employs ResNet-50 for facia...
Humans Male Databases, Factual Pain Measurement Female Pain Aged Hip Fractures Aged, 80 and over Facial Expression
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The underlying molecular mechanisms and biomarkers of Hip fracture combined with deep vein thrombosis based on self sequencing bioinformatics analysis.

Journal of orthopaedic surgery and research May 16, 2025
BACKGROUND: Thrombus formation is a severe complication in orthopedic surgery, significantly increasing mortality in patients with fractures. Therefore, identifying feature genes to determine thrombus presence in fracture surgeries is critical.
Humans Biomarkers Gene Expression Profiling Gene Regulatory Networks Computational Biology Venous Thrombosis Female Aged Male Middle Aged Hip Fractures
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Elucidating predictors of preoperative acute heart failure in older people with hip fractures through machine learning and SHAP analysis: a retrospective cohort study.

BMC geriatrics Apr 23, 2025
BACKGROUND: Acute heart failure (AHF) has become a significant challenge in older people with hip fractures. Timely identification and assessment of preoperative AHF have become key factors in reducing surgical risks and improving outcomes.
Humans Machine Learning Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male Risk Assessment Hip Fractures Cohort Studies Preoperative Period Acute Disease Heart Failure
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Screening risk factors for the occurrence of wedge effects in intramedullary nail fixation for intertrochanteric fractures in older people via machine learning and constructing a prediction model: a retrospective study.

BMC musculoskeletal disorders Apr 22, 2025
PURPOSE: The wedge effect (V-effect) is a common complication in intramedullary nailing surgery for intertrochanteric fractures and can significantly affect postoperative outcomes. The purpose of this study was to screen risk factors for the intraope...
Intraoperative Complications Retrospective Studies China Female Fracture Fixation, Intramedullary Risk Factors Hip Fractures Aged Humans Bone Nails Middle Aged Machine Learning Risk Assessment Aged, 80 and over Postoperative Complications Male
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Comparing machine learning models for predicting preoperative DVT incidence in elderly hypertensive patients with hip fractures: a retrospective analysis.

Scientific reports Apr 16, 2025
Hip fractures in the elderly present a significant public health challenge globally, especially among patients with hypertension, who are at an increased risk of developing preoperative deep vein thrombosis (DVT). DVT not only heightens surgical risk...
Hip Fractures Preoperative Period Logistic Models Nomograms Hypertension Venous Thrombosis Female Risk Factors Aged Aged, 80 and over Male Risk Assessment Incidence ROC Curve Humans Machine Learning Retrospective Studies
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Added value of artificial intelligence for the detection of pelvic and hip fractures.

Japanese journal of radiology Mar 5, 2025
PURPOSE: To assess the added value of artificial intelligence (AI) for radiologists and emergency physicians in the radiographic detection of pelvic fractures.
Sensitivity and Specificity Male Middle Aged Female Pelvic Bones Fractures, Bone Aged Humans Hip Fractures Aged, 80 and over Artificial Intelligence Adult Retrospective Studies
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Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture.

Clinical interventions in aging Feb 27, 2025
BACKGROUND: Hip fractures have become a significant health concern, particularly among super-aged patients, who were at a high risk of postoperative pneumonia due to their frailty and the presence of multiple comorbidities. This study aims to establi...
Risk Assessment Female Postoperative Complications Humans Risk Factors Logistic Models China Neural Networks, Computer Aged, 80 and over Incidence Support Vector Machine Machine Learning Male Algorithms Pneumonia Hip Fractures
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Machine Learning-Based CT Radiomics Model to Predict the Risk of Hip Fragility Fracture.

Academic radiology Feb 3, 2025
RATIONALE AND OBJECTIVES: This research aimed to develop a combined model based on proximal femur attenuation values and radiomics features at routine CT to predict hip fragility fracture using machine learning methods.
Risk Factors Hip Fractures Male Humans Aged Middle Aged Machine Learning Aged, 80 and over Risk Assessment Tomography, X-Ray Computed Radiomics Radiographic Image Interpretation, Computer-Assisted Female
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Deep learning for automated hip fracture detection and classification : achieving superior accuracy.

The bone & joint journal Feb 1, 2025
AIMS: The aim of this study was to develop and evaluate a deep learning-based model for classification of hip fractures to enhance diagnostic accuracy.
Male Deep Learning Radiography Humans Hip Fractures Neural Networks, Computer Female Retrospective Studies Aged Aged, 80 and over Sensitivity and Specificity
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