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Subcategories: Sports Medicine

Showing 3844-3864 of 5,310 articles

The automatic pelvic screw corridor planning for intact pelvises based on deep learning deformable registration.

Percutaneous screw fixation technique in pelvic trauma surgery is an extremely challenging operation...

Jun 2025 PMID: 40367630

Individual thigh muscle and proximal femoral features predict displacement in femoral neck Fractures: An AI-driven CT analysis.

INTRODUCTION: Hip fractures, particularly among the elderly, impose a significant public health burd...

Jun 2025 PMID: 40367625

Multimodal Diagnostic Approach for Osteosarcoma and Bone Callus Using Hyperspectral Imaging and Deep Learning.

Distinguishing osteosarcoma from bone callus remains a clinical challenge due to their morphological...

Jun 2025 PMID: 40357996

Passive ankle and hindfoot kinematics within a robot-driven tibial movement envelope.

Accurate description of individual bone kinematics is essential for understanding individual foot an...

Jun 2025 PMID: 40334357

Enhancing osteoporosis risk prediction using machine learning: A holistic approach integrating biomarkers and clinical data.

Osteoporosis (OP) affects approximately 18 % of the global population, with osteoporosis-associated ...

Jun 2025 PMID: 40328025

A rule-based method to automatically locate lumbar vertebral bodies on MRI images.

BACKGROUND: Segmentation is a critical process in medical image interpretation. It is also essential...

Jun 2025 PMID: 40306019

Assessing the quality and readability of ChatGPT responses to frequently asked questions about trigger finger release.

Artificial intelligence, specifically large language models like ChatGPT, is rapidly transforming th...

Jun 2025 PMID: 40300385

Fine-Tuning Deep Learning Model for Quantitative Knee Joint Mapping With MR Fingerprinting and Its Comparison to Dictionary Matching Method: Fine-Tuning Deep Learning Model for Quantitative MRF.

Magnetic resonance fingerprinting (MRF), as an emerging versatile and noninvasive imaging technique,...

Jun 2025 PMID: 40259681

ICPPNet: A semantic segmentation network model based on inter-class positional prior for scoliosis reconstruction in ultrasound images.

OBJECTIVE: Considering the radiation hazard of X-ray, safer, more convenient and cost-effective ultr...

Jun 2025 PMID: 40258407

Joint high-resolution feature learning and vessel-shape aware convolutions for efficient vessel segmentation.

Clear imagery of retinal vessels is one of the critical shreds of evidence in specific disease diagn...

Jun 2025 PMID: 40253922

AI for fracture diagnosis in clinical practice: Four approaches to systematic AI-implementation and their impact on AI-effectiveness.

PURPOSE: Artificial Intelligence (AI) has been shown to enhance fracture-detection-accuracy, but the...

Jun 2025 PMID: 40252277

Evaluation of blood- and urine-derived biomarkers for machine learning prediction models of osteoarthritis in elderly patients: A feasibility study.

BACKGROUND: Osteoarthritis (OA) is a common degenerative joint disease, particularly affecting indiv...

Jun 2025 PMID: 40239454

Wrist and elbow fracture detection and segmentation by artificial intelligence using point-of-care ultrasound.

PURPOSE: Distal radius (wrist) and supracondylar (elbow) fractures are common in children presenting...

Jun 2025 PMID: 40232672

Real-Time Precision Tracking System in Periprosthetic Acetabular Osteotomy With Osteotome Chisel Elastic Deformation Consideration.

The periprosthetic acetabular osteotomy (PAO) is a commonly used technique in orthopedics for treati...

Jun 2025 PMID: 40214620

Machine learning models based on a national-scale cohort accurately identify patients at high risk of deep vein thrombosis following primary total hip arthroplasty.

BACKGROUND: The occurrence of deep venous thrombosis (DVT) following total hip arthroplasty (THA) po...

Jun 2025 PMID: 40185200

Predicting strength of femora with metastatic lesions from single 2D radiographic projections using convolutional neural networks.

BACKGROUND AND OBJECTIVE: Patients with metastatic bone disease are at risk of pathological femoral ...

Jun 2025 PMID: 40174318

Using deep-learning based segmentation to enable spatial evaluation of knee osteoarthritis (SEKO) in rodent models.

OBJECTIVE: In preclinical models of osteoarthritis (OA), histology is commonly used to evaluate join...

Jun 2025 PMID: 40139644

Does the deep learning-based iterative reconstruction affect the measuring accuracy of bone mineral density in low-dose chest CT?

OBJECTIVES: To investigate the impacts of a deep learning-based iterative reconstruction algorithm o...

Jun 2025 PMID: 40127198

Browse Categories

The automatic pelvic screw corridor planning for intact pelvises based on deep learning deformable registration.

Individual thigh muscle and proximal femoral features predict displacement in femoral neck Fractures: An AI-driven CT analysis.

Multimodal Diagnostic Approach for Osteosarcoma and Bone Callus Using Hyperspectral Imaging and Deep Learning.

Passive ankle and hindfoot kinematics within a robot-driven tibial movement envelope.

Enhancing osteoporosis risk prediction using machine learning: A holistic approach integrating biomarkers and clinical data.

A rule-based method to automatically locate lumbar vertebral bodies on MRI images.

Assessing the quality and readability of ChatGPT responses to frequently asked questions about trigger finger release.

Fine-Tuning Deep Learning Model for Quantitative Knee Joint Mapping With MR Fingerprinting and Its Comparison to Dictionary Matching Method: Fine-Tuning Deep Learning Model for Quantitative MRF.

ICPPNet: A semantic segmentation network model based on inter-class positional prior for scoliosis reconstruction in ultrasound images.

Joint high-resolution feature learning and vessel-shape aware convolutions for efficient vessel segmentation.

AI for fracture diagnosis in clinical practice: Four approaches to systematic AI-implementation and their impact on AI-effectiveness.

Evaluation of blood- and urine-derived biomarkers for machine learning prediction models of osteoarthritis in elderly patients: A feasibility study.

Wrist and elbow fracture detection and segmentation by artificial intelligence using point-of-care ultrasound.

Real-Time Precision Tracking System in Periprosthetic Acetabular Osteotomy With Osteotome Chisel Elastic Deformation Consideration.

Machine learning models based on a national-scale cohort accurately identify patients at high risk of deep vein thrombosis following primary total hip arthroplasty.

Predicting strength of femora with metastatic lesions from single 2D radiographic projections using convolutional neural networks.

Using deep-learning based segmentation to enable spatial evaluation of knee osteoarthritis (SEKO) in rodent models.

Does the deep learning-based iterative reconstruction affect the measuring accuracy of bone mineral density in low-dose chest CT?

Score-Based Diffusion Models With Self-Supervised Learning for Accelerated 3D Multi-Contrast Cardiac MR Imaging.

FedBCD: Federated Ultrasound Video and Image Joint Learning for Breast Cancer Diagnosis.

Revolutionising osseous biopsy: the impact of artificial intelligence in the era of personalized medicine.

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