Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

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Showing 274-294 of 5,177 articles
Optimizing operating room efficiency in robotic-assisted total knee arthroplasty through manufacturing efficiency principles.

PURPOSE: Recent studies have explored the application of manufacturing efficiency principles as a fr...

Comprehensive Analysis of the Role of Metabolic Features in Osteoporosis: A Multi-Omics Analysis.

PURPOSE: This study aims to comprehensively explore the metabolic features related to the pathogenes...

Bridging Genomic Research Disparities in Osteoporosis GWAS: Insights for Diverse Populations.

PURPOSE OF REVIEW: Genome-wide association studies (GWAS) have significantly advanced osteoporosis r...

Epidemiology and survival of patients with primary lymphoma of bone: a large retrospective cohort study.

Primary lymphoma of bone (PLB) is a rare extranodal lymphoma, and its epidemiology and prognosis rem...

Modeling and simulation of soft bio-mimetic fingers with a novel soft thumb design for bionic hand applications using ANN.

The paper presents a novel design for a soft bio-mimetic finger and soft thumb structure for bionic ...

Advancements in Machine Learning for Precision Diagnostics and Surgical Interventions in Interconnected Musculoskeletal and Visual Systems.

Artificial intelligence (AI) is reshaping precision medicine by revealing diagnostic links between o...

Artificial Intelligence in Rotator Cuff Tear Detection: A Systematic Review of MRI-Based Models.

: This descriptive systematic review aimed to assess in the available literature on the current appl...

Development and validation of a radiomics model using plain radiographs to predict spine fractures with posterior wall injury.

PURPOSE: When spine fractures involve posterior wall damage, they pose a heightened risk of instabil...

A Joint Geometric Topological Analysis Network (JGTA-Net) for Detecting and Segmenting Intracranial Aneurysms.

OBJECTIVE: The rupture of intracranial aneurysms leads to subarachnoid hemorrhage. Detecting intracr...

Optimizing the power of AI for fracture detection: from blind spots to breakthroughs.

Artificial Intelligence (AI) is increasingly being integrated into the field of musculoskeletal (MSK...

AI and machine learning in paediatric spine deformity surgery.

Paediatric spine deformity surgery is a high-stakes procedure. It demands the surgeon to have except...

Identification of biomarkers and potential drug targets in DFU based on fundamental experiments and multi-omics joint analysis.

OBJECTIVE: This study aims to investigate the molecular mechanisms by which quercetin facilitates th...

A deep learning aided bone marrow segmentation of quantitative fat MRI for myelofibrosis patients.

PURPOSE: To automate bone marrow segmentation within pelvic bones in quantitative fat MRI of myelofi...

The knowledge distillation-assisted multimodal model for osteoporosis screening.

BACKGROUND AND OBJECTIVE: Osteoporosis is characterized by reduced bone mass and deterioration of bo...

A demand-centered scheduling framework for shared supercomputing resources: modeling, metrics, and case insights.

The exponential growth of artificial intelligence and data-intensive applications has led to a signi...

HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture Grading.

Osteoporotic vertebral compression fractures (OVCFs) are prevalent in the elderly population, typica...

An X-ray bone age assessment method for hands and wrists of adolescents in Western China based on feature fusion deep learning models.

The epiphyses of the hand and wrist serve as crucial indicators for assessing skeletal maturity in a...

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