Orthopedics

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 pathogenesis of osteoporosis (OP) through multi-omics analysis strategy.

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 remain controversial. We conducted a retrospective analysis of 1,222 patients with PLB in the Surveillance, Epidemiology, and End Results (SEER) database to investigate its epidemiology and prognostic factors. The incidence of PLB peaked in 1992 with an average annual percent change of 1.72 after a sig...

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

PURPOSE OF REVIEW: Genome-wide association studies (GWAS) have significantly advanced osteoporosis research by identifying genetic loci associated wit...

The Role of Hydrogen Sulfide in the Localization and Structural-Functional Organization of p53 Following Traumatic Brain Injury: Development of a YOLO Model for Detection and Quantification of Apoptotic Nuclei.

Traumatic brain injury (TBI) triggers a cascade of molecular and cellular disturbances, including apoptosis, inflammation, and destabilization of neur...

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 hand applications. It introduces an anthropomorphi...

AI and machine learning in paediatric spine deformity surgery.

Paediatric spine deformity surgery is a high-stakes procedure. It demands the surgeon to have exceptional anatomical knowledge and precise visuospatia...

Classification of Adolescent Idiopathic Scoliosis Curvature Using Contrastive Clustering.

STUDY DESIGN: Retrospective image analysis study.

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) radiology, from research methods to routine clin...

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 instability, consequently influencing treatment strategies...

Effectiveness of hypotension prediction index software in reducing intraoperative hypotension in prolonged prone-position spine surgery: a single-center clinical trial.

Intraoperative hypotension (IOH) is associated with morbidity and mortality. The Hypotension Prediction Index (HPI), a machine learning-based tool, of...

Pain score patterns after total knee arthroplasty determined by an unsupervised learning algorithm.

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 application and overall performance of Artificial Inte...

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 ocular biomarkers and systemic musculoskeletal diso...

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 myelofibrosis (MF) patients using deep-learning (DL) U-Ne...

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 adolescents. This study aimed to develop a deep lea...

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, typically assessed on computed tomography (CT) scans by ...

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 significant surge in demand for supercomputing resource...

The knowledge distillation-assisted multimodal model for osteoporosis screening.

BACKGROUND AND OBJECTIVE: Osteoporosis is characterized by reduced bone mass and deterioration of bone structure, yet screening rates prior to fractur...

A labeled dataset for osteoporosis screening based on electromagnetic attenuation.

The Core Outcome Measures Index (COMI) comes of age: 18 years of efficient and effective patient-reported outcome measurement in the field of spinal disorders. Part 2. COMI item-content, scoring, language versions, and applications.

In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, physiotherapy, occupational therapy, rheumatology,...