AIMC Topic: Hip Fractures

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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...
Humans Machine Learning Retrospective Studies Male Risk Assessment Incidence ROC Curve Logistic Models Female Risk Factors Aged Aged, 80 and over Preoperative Period Nomograms Hypertension Venous Thrombosis Hip Fractures
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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.
Humans Artificial Intelligence Retrospective Studies Female Pelvic Bones Aged Male Fractures, Bone Aged, 80 and over Middle Aged Hip Fractures Adult Sensitivity and Specificity
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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...
Algorithms Female Risk Factors Aged, 80 and over Male Risk Assessment Postoperative Complications China Humans Neural Networks, Computer Machine Learning Hip Fractures Incidence Logistic Models Support Vector Machine Pneumonia
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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.
Radiographic Image Interpretation, Computer-Assisted Hip Fractures Radiomics Male Humans Middle Aged Machine Learning Risk Assessment Female Tomography, X-Ray Computed Risk Factors Aged Aged, 80 and over
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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.
Hip Fractures Sensitivity and Specificity Male Deep Learning Radiography Humans Neural Networks, Computer Retrospective Studies Female Aged Aged, 80 and over
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Patch-based feature mapping with generative adversarial networks for auxiliary hip fracture detection.

Computers in biology and medicine Jan 10, 2025
BACKGROUND: Hip fractures are a significant public health issue, particularly among the elderly population. Pelvic radiographs (PXRs) play a crucial role in diagnosing hip fractures and are commonly used for their evaluation. Previous research has de...
Female Aged Male Radiographic Image Interpretation, Computer-Assisted Hip Fractures Generative Adversarial Networks Humans Neural Networks, Computer Algorithms
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An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery.

BMC anesthesiology Dec 19, 2024
AIM: The study aimed to develop a predictive model with machine learning (ML) algorithm, to predict and manage the need for red blood cell (RBC) transfusion during hip fracture surgery.
Erythrocyte Transfusion Middle Aged Supervised Machine Learning Anemia Hip Fractures Retrospective Studies Humans Aged Female Algorithms Aged, 80 and over Male
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Machine Learning Algorithms Exceed Comorbidity Indices in Prediction of Short-Term Complications After Hip Fracture Surgery.

The Journal of the American Academy of Orthopaedic Surgeons Nov 19, 2024
BACKGROUND: Hip fractures are among the most morbid acute orthopaedic injuries often due to accompanying patient frailty. The purpose of this study was to determine the reliability of assessing surgical risk after hip fracture through machine learnin...
Length of Stay Predictive Value of Tests Patient Readmission Hip Fractures Humans Female Machine Learning Male Reproducibility of Results Aged Aged, 80 and over Risk Assessment Postoperative Complications Comorbidity Algorithms
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Predictive modeling of preoperative acute heart failure in older adults with hypertension: a dual perspective of SHAP values and interaction analysis.

BMC medical informatics and decision making Nov 6, 2024
BACKGROUND: In older adults with hypertension, hip fractures accompanied by preoperative acute heart failure significantly elevate surgical risks and adverse outcomes, necessitating timely identification and management to improve patient outcomes.
Risk Assessment Humans Logistic Models Heart Failure Female Machine Learning Hypertension Hip Fractures Retrospective Studies Aged Acute Disease Aged, 80 and over Male
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Interpretable prediction of acute ischemic stroke after hip fracture in patients 65 years and older based on machine learning and SHAP.

Archives of gerontology and geriatrics Sep 19, 2024
BACKGROUND: Hip fracture and acute ischemic stroke (AIS) are prevalent conditions among the older population. The prognosis for older patients who experience AIS subsequent to hip fracture is frequently unfavorable.
Nomograms Propensity Score Risk Factors Humans Machine Learning Support Vector Machine Aged Prognosis Aged, 80 and over Ischemic Stroke Female Male Hip Fractures
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