AIMC Topic: Hip Fractures

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Proximal femur fracture detection on plain radiography via feature pyramid networks.

Scientific reports May 27, 2024
Hip fractures exceed 250,000 cases annually in the United States, with the worldwide incidence projected to increase by 240-310% by 2050. Hip fractures are predominantly diagnosed by radiologist review of radiographs. In this study, we developed a de...
Sensitivity and Specificity Male Middle Aged Aged Aged, 80 and over Hip Fractures Femoral Fractures Proximal Femoral Fractures Deep Learning Radiography Neural Networks, Computer Female Humans
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YOLOX-SwinT algorithm improves the accuracy of AO/OTA classification of intertrochanteric fractures by orthopedic trauma surgeons.

Chinese journal of traumatology = Zhonghua chuang shang za zhi Apr 23, 2024
PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artific...
Hip Fractures Orthopedic Surgeons Artificial Intelligence Algorithms Humans
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Development and Internal Validation of a Multivariable Prediction Model for Mortality After Hip Fracture with Machine Learning Techniques.

Calcified tissue international Apr 16, 2024
In order to estimate the likelihood of 1, 3, 6 and 12 month mortality in patients with hip fractures, we applied a variety of machine learning methods using readily available, preoperative data. We used prospectively collected data from a single univ...
Humans Prognosis Female Aged Machine Learning Prospective Studies Denmark Hip Fractures Middle Aged ROC Curve Aged, 80 and over Male
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Robot Navigation System Assisted PFNA Fixation of Femoral Intertrochanteric Fractures in the Elderly: A Retrospective Clinical Study.

Clinical interventions in aging Jan 5, 2024
OBJECTIVE: The incidence of hip fracture in the elderly is increasing. Robot navigation technology has the advantages of minimally invasive and accurate. To explore the difference between the clinical effects of proximal femoral anti-rotation intrame...
Robotics Hemoglobins Femoral Fractures Hip Fractures Retrospective Studies Aged Humans
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Comparison of Bone-setting Robots and Conventional Reduction in the Treatment of Intertrochanteric Fracture: A Retrospective Study.

Orthopaedic surgery Dec 12, 2023
OBJECTIVE: Intertrochanteric fracture of the femur is a common fracture in older people. Due to the poor systemic condition and prognosis of elderly patients, it is prone to more complications. We introduce the bone-setting concept in the design of t...
Bone Nails Treatment Outcome Fracture Fixation, Intramedullary Humans Retrospective Studies Blood Loss, Surgical Robotics Aged Hip Fractures
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Artificial Intelligence for Hip Fracture Detection and Outcome Prediction: A Systematic Review and Meta-analysis.

JAMA network open Mar 1, 2023
IMPORTANCE: Artificial intelligence (AI) enables powerful models for establishment of clinical diagnostic and prognostic tools for hip fractures; however the performance and potential impact of these newly developed algorithms are currently unknown.
Humans Algorithms Length of Stay Artificial Intelligence Prognosis Hip Fractures
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Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review.

Journal of orthopaedic surgery and research Dec 1, 2022
BACKGROUND: In the emergency room, clinicians spend a lot of time and are exposed to mental stress. In addition, fracture classification is important for determining the surgical method and restoring the patient's mobility. Recently, with the help of...
Hip Fractures Databases, Factual Humans Emergency Service, Hospital Artificial Intelligence Machine Learning
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Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study.

Journal of digital imaging Jun 16, 2022
The characteristics of bone fragments are the main influencing factors for the choice of treatment in intertrochanteric fractures. This study aimed to develop a deep learning algorithm for recognizing and segmenting individual fragments in CT images ...
Deep Learning Image Processing, Computer-Assisted Retrospective Studies Tomography, X-Ray Computed Humans Hip Fractures Neural Networks, Computer
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Beyond the : Validation and Algorithmic Audit of a Deep Learning System to Detect Hip Fractures Radiographically.

AJR. American journal of roentgenology Jun 8, 2022
Deep Learning Hip Fractures Humans
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Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.

BMC geriatrics May 24, 2022
BACKGROUND: Fragility hip fracture increases morbidity and mortality in older adult patients, especially within the first year. Identification of patients at high risk of death facilitates modification of associated perioperative factors that can red...
Thailand Hip Fractures Humans Retrospective Studies Aged Machine Learning Bayes Theorem
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