Orthopedics

Explainable machine learning on resting-state magnetoencephalography power spectra reveals neural alterations in knee osteoarthritis.

This study aimed to investigate abnormal patterns of resting-state magnetoencephalography (MEG) power spectra in patients with knee osteoarthritis (KOA) and to identify the spectral features most relevant to group classification using explainable machine learning approaches. A total of 80 patients with KOA who met the diagnostic criteria and 80 age- and sex-matched healthy controls were recruited....

CORR Insights®: Development and Internal Evaluation of EAST-BMS (East Asian Survival Tool for Bone Metastasis Surgery): A Multinational Machine-learning Survival Prediction Model for Patients Undergoing Surgery for Nonspinal Bone Metastasis in East Asia.

Screening disease feature genes and analyzing correlations with immune cell infiltration in knee osteoarthritis chondrocytes based on multiple machine learning algorithms.

OBJECTIVE: This study aimed to comprehensively analyze differentially expressed genes (DEGs) in chondrocytes from patients with knee osteoarthritis (O...

PREPARE: Personalised Rehabilitation via Novel AI Patient Stratification Strategies. The Case for Idiopathic Scoliosis During Growth.

Drafting an Individual Rehabilitation Project requires precise goal-setting based on functional prognosis. However, patient stratification in rehabili...

Automated Rigo Classification: An Innovative Artificial Intelligence System.

Although there is variation in clinicians' application of the Rigo classification system (RCS) to adolescent idiopathic scoliosis, no artificial intel...

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

INTRODUCTION: Adolescent idiopathic scoliosis (AIS) screening remains controversial, particularly regarding its effectiveness and cost-effectiveness i...

Joint-specific measures improve risk adjustment in total knee arthroplasty: A machine learning approach.

PURPOSE: Accurate risk adjustment in total knee arthroplasty (TKA) is essential for outcome prediction and quality assessment. Most existing predictio...

AI-planned and robotic-assisted pedicle screw placement improves accuracy and reduces loosening in lumbar fusion for patients with low bone mass: a multicenter study.

OBJECTIVE: This study aimed to evaluate the effectiveness of artificial intelligence (AI)-based pedicle screw trajectory planning combined with roboti...

A machine learning AI model for predicting condylar erosion in patients with temporomandibular joint disorders and analyzing factors contributing to prediction.

OBJECTIVES: In temporomandibular joint osteoarthritis, condylar erosion is considered a sign of disease progression. Few studies have clarified the ex...

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

In our previous study, a home-built handheld OCT system was used to collect OCT images in vocal cord leukoplakia. First, 383 valid OCT images were col...

Artificial intelligence for detecting subtle paediatric tibial fractures in children under three years: An analysis of YOLO architectures with convolutional Block attention.

INTRODUCTION: Subtle tibial fractures in children under three are frequently missed, particularly in cases of suspected physical abuse. Early, accurat...

Quality assessment of YouTube videos on total knee arthroplasty: a comparative evaluation of orthopedic surgeons and artificial intelligence models.

BACKGROUND: YouTube is widely used by patients seeking preoperative information before total knee arthroplasty (TKA). As online video content may infl...

Deep Learning-Based Detection of Overhanging Restorations and Calculation of Radiographic Alveolar Bone Loss Percentage with YOLOv11 and YOLOv12.

The objective of this study is to evaluate the YOLOv11 and YOLOv12 deep learning models for the detection of overhanging restorations in panoramic rad...

Bone morphology as a significant risk factor for anterior cruciate ligament injury.

Anterior cruciate ligament (ACL) injury is a prevalent sports-related trauma with significant impact on both professional athletes and young individua...

Long-term outcomes with emicizumab prophylaxis for haemophilia A in China: A multicentre, large-cohort retrospective study.

Emicizumab is an established prophylactic therapy for haemophilia A (HA). However, real-world multicentre evidence on long-term outcomes, particularly...

Artificial Intelligence in Total Hip and Knee Arthroplasty: A Primer on Current Applications, Algorithms, and Future Directions.

» Artificial intelligence (AI) is increasingly integrated across the total hip and knee arthroplasty care continuum, including preoperative risk strat...

Automatic early detection of pathological signs following primary total hip arthroplasty using radiographs, clinical scores, and comorbidities.

The growing prevalence of total hip arthroplasty (THA) revisions, along with their generally poorer outcomes compared to primary procedures, emphasize...

Joint optimization secure and energy-efficient computation offloading framework IoT-enabled edge networks.

With the rapid growth and development of smart cities, many real-time systems have been designed to support the dynamic infrastructure of realistic an...

Radiomics Analysis for Predicting Medication-Related Osteonecrosis of the Jaw Using Computed Tomography.

OBJECTIVES: To determine whether pretreatment radiomics can predict medication-related osteonecrosis of the jaw (MRONJ). METHODS: Patients with mandib...

Are magnetic resonance imaging features associated with intermittent and constant pain in knee osteoarthritis? A cross-sectional study.

OBJECTIVE: This study aims to explore the relationship between MRI structural morphotypes and intermittent and constant pain in knee osteoarthritis (K...