Latest AI and machine learning research in orthopedics for healthcare professionals.
BACKGROUND: The study of spinopelvic alignment in asymptomatic individuals is essential for understanding physiological sagittal balance and establishing reference values for spinal deformity assessment. However, the availability of large datasets of healthy subjects is limited by ethical, logistical, and radiation-related constraints. Artificial intelligence (AI)-based synthetic data generation m...
BACKGROUND: Osteoporosis is a metabolic bone disease characterized by reduced bone mass and microarchitectural deterioration, with complex involvement of molecular networks and immune-associated transcriptional dysregulation. OBJECTIVE: This study aimed to elucidate the immune-associated regulatory features of ATP-binding cassette subfamily A member 8 (ABCA8) in osteoporosis. METHODS: Differential...
OBJECTIVES: To evaluate the diagnostic performance of the large language model (LLM) Gemini 2.5 for cholesteatoma detection using histopathology as th...
OBJECTIVES: Although advancements in electronic health records (EHRs) have improved clinical productivity, digital administrative responsibilities hav...
PURPOSE: Posterior spinal fusion (PSF) with pedicle screws is the standard treatment for adolescent idiopathic scoliosis (AIS) with curves > 45°, yet ...
In this study, we developed ML algorithms to predict fragility fractures, considering the occurrence of fractures at different skeletal sites, using t...
Artificial intelligence (AI) has shown promise in detecting and characterizing musculoskeletal diseases from radiographs. However, most existing model...
INTRODUCTION: Artificial intelligence is gaining significant traction, particularly in the orthopedic literature. To date, there has been no published...
BACKGROUND AND OBJECTIVES: Large Language Models (LLMs) are increasingly used by healthcare professionals and patients for medical information synthes...
BACKGROUND: Anterior approaches to the cervical spine have consistently increased annually, with commonly performed procedures demonstrating low morbi...
Repetitive loading of bone is associated with microdamage accumulation and material property degradation that may ultimately result in fatigue fractur...
OBJECTIVES: This study aims to provide a comprehensive bibliometric mapping of the scientific evolution and research trends of fractal analysis (FA) i...
Deep learning and prior-image-guided cross modality motion reconstruction methods have recently en abled faster acquisition time and lower artifacts i...
Brain dynamics are constrained by the underlying topology of neuronal networks. How genes collaborate to organize these neural networks during develop...
OBJECTIVE: This study aimed to evaluate the accuracy of predicting final adult height (FAH) in Korean girls with central precocious puberty (CPP) usin...
This study presents a patient-specific parametric model of the temporomandibular joint, designed to be semi-automated, and reproducible for multiple p...
High mammographic density is a well-known risk factor for breast cancer and reduces the sensitivity of mammography-based screening. While automated ma...
Mechanical complications in dental implantology often arise from a mismatch between standardized geometries and patient-specific anatomical constraint...
The development of deep learning models for 3D knee MRI analysis is critically constrained by the scarcity of large, annotated datasets. Few-shot lear...
OBJECTIVE: Evidence on metformin's skeletal effects remains conflicting. We emulated a target trial to evaluate associations between metformin therapy...