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Femur Head Necrosis

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A Deep-Learning Model for Predicting the Efficacy of Non-vascularized Fibular Grafting Using Digital Radiography.

Academic radiology 37935609
RATIONALE AND OBJECTIVES: To develop a fully automated deep-learning (DL) model using digital radiography (DR) with relatively high accuracy for predicting the efficacy of non-vascularized fibular grafting (NVFG) and identifying suitable patients for...
Deep Learning Femur Head Necrosis Humans Radiographic Image Enhancement Retrospective Studies Treatment Outcome
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Deep learning approach to femoral AVN detection in digital radiography: differentiating patients and pre-collapse stages.

BMC musculoskeletal disorders 39010001
OBJECTIVE: This study aimed to evaluate a new deep-learning model for diagnosing avascular necrosis of the femoral head (AVNFH) by analyzing pelvic anteroposterior digital radiography.
Adolescent Adult Aged Deep Learning Diagnosis, Differential Female Femur Head Necrosis Humans Magnetic Resonance Imaging Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Young Adult
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Machine learning models to predict osteonecrosis in patients with femoral neck fractures undergoing internal fixation.

Injury 39236603
OBJECTIVE: This study aimed to use machine learning (ML) to establish risk factor and prediction models of osteonecrosis of the femoral head (ONFH) in patients with femoral neck fractures (FNFs) after internal fixation.
Adult Aged Female Femoral Neck Fractures Femur Head Necrosis Fracture Fixation, Internal Humans Logistic Models Machine Learning Male Middle Aged Postoperative Complications Retrospective Studies Risk Assessment Risk Factors ROC Curve
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Genetic Analysis of Potential Biomarkers and Therapeutic Targets in Ferroptosis from Steroid-Induced Osteonecrosis of the Femoral Head Based on Machine Learning.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP 39113509
OBJECTIVE: To locate the candidate therapeutic target genes involved in ferroptosis in steroid-induced osteonecrosis of the femoral head (SONFH).
Biomarkers Computational Biology Femur Head Necrosis Ferroptosis Humans Machine Learning Proto-Oncogene Mas Steroids Suppressor of Cytokine Signaling 1 Protein
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Prediction of femoral head collapse in osteonecrosis using deep learning segmentation and radiomics texture analysis of MRI.

BMC medical informatics and decision making 39482688
BACKGROUND: Femoral head collapse is a critical pathological change and is regarded as turning point in disease progression in osteonecrosis of the femoral head (ONFH). In this study, we aim to build an automatic femoral head collapse prediction pipe...
Adult Deep Learning Female Femur Head Femur Head Necrosis Humans Magnetic Resonance Imaging Male Middle Aged Prognosis Radiomics Retrospective Studies
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Leveraging AI models for lesion detection in osteonecrosis of the femoral head and T1-weighted MRI generation from radiographs.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society 39579026
This study emphasizes the importance of early detection of osteonecrosis of the femoral head (ONFH) in young patients on long-term glucocorticoid therapy, including those with acute lymphoblastic leukemia, lupus, and other diagnoses. While X-ray and ...
Adolescent Adult Artificial Intelligence Female Femur Head Femur Head Necrosis Humans Magnetic Resonance Imaging Male Radiography Young Adult
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Quantification of Empty Lacunae in Tissue Sections of Osteonecrosis of the Femoral Head Using YOLOv8 Artificial Intelligence Model.

Journal of biomedical materials research. Part B, Applied biomaterials 39620323
Histomorphometry is an important technique in the evaluation of non-traumatic osteonecrosis of the femoral head (ONFH). Quantification of empty lacunae and pyknotic cells on histological images is the most reliable measure of ONFH pathology, yet it i...
Animals Artificial Intelligence Disease Models, Animal Femur Head Femur Head Necrosis Image Processing, Computer-Assisted Rabbits
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A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling.

BMC medical informatics and decision making 39815247
PURPOSE: Identifying patients who may benefit from multiple drilling are crucial. Hence, the purpose of the study is to utilize radiomics and deep learning for predicting no-collapse survival in patients with femoral head osteonecrosis.
Adult Deep Learning Female Femur Head Necrosis Humans Male Middle Aged Nomograms Radiomics
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Automated detection of early-stage osteonecrosis of the femoral head in adult using YOLOv10: Multi-institutional validation.

European journal of radiology 39923593
OBJECTIVES: To develop a deep learning model based on the You Only Look Once version 10 (YOLOv10) for detecting early-stage ONFH in adult using radiographs.
Adult Deep Learning Female Femur Head Femur Head Necrosis Humans Magnetic Resonance Imaging Male Middle Aged Reproducibility of Results Retrospective Studies
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X-ray based radiomics machine learning models for predicting collapse of early-stage osteonecrosis of femoral head.

Scientific reports 40254636
This study aimed to develop an X-ray radiomics model for predicting collapse of early-stage osteonecrosis of the femoral head (ONFH). A total of 87 patients (111 hips; training set: n = 67, test set: n = 44) with non-traumatic ONFH at Association Res...
Adult Female Femur Head Femur Head Necrosis Humans Machine Learning Male Middle Aged Radiography Radiomics Retrospective Studies ROC Curve Support Vector Machine Young Adult
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