Orthopedics

A new peer reviewer? Comparing AI with human performance in randomized controlled trial risk-of-bias assessment.

BACKGROUND: Risk-of-bias (RoB) assessment is essential for evidence synthesis but remains time-consuming and inherently subjective. Artificial intelligence (AI) may improve the efficiency of systematic reviews; however, its reliability in reproducing expert RoB judgements remains uncertain. OBJECTIVES: To compare the performance of AI models and human raters in RoB assessment of randomized control...

Advancing Artificial Intelligence for Skeletal Maturation Assessment and Cervical Vertebral Anomaly Detection in Patients With Cleft Lip and Palate.

Comment on "Assessing deep learning model performance in osteoporosis screening with lumbar spine radiographs".

Mapping the Mandibular Lingual Foramina for Safer Chin Surgery: CT Morphometry and Predictive Modeling.

BACKGROUND: Submental hematoma after genioplasty is rare but can be life-threatening, and current imaging data give limited patient-specific guidance ...

Medical Spine Sagittal MRI Dataset for Segmentation and Foraminal Stenosis detection.

Lumbar spine disorders represent one of the most prevalent musculoskeletal conditions worldwide, particularly among the elderly population. Magnetic R...

Identification and experimental validation of aging-related biomarkers in intervertebral disc degeneration.

Intervertebral disc degeneration (IDD) is a prevalent disease with an increasing incidence, and aging is a key risk factor for its progression. Theref...

Predicting Osteoporosis Risk from Knee Radiographs and Clinical Features through Deep Learning: A Multimodal Approach.

BACKGROUND: Osteoporosis is a prevalent skeletal disease with high morbidity rates in developing countries due to limited access to gold-standard dual...

Preoperative MRI-Derived Navigation Reduces Radiation Exposure in Pediatric Spinal Fusion.

BACKGROUND: Minimizing radiation exposure during pediatric spinal deformity correction is critical due to the cumulative lifetime effects of ionizing ...

Integrative analysis of single-cell and bulk RNA sequencing data using machine learning identifies PTGDS as a key subsynovial fibroblast gene in osteoarthritis.

Acoustic-optical joint underwater object detection with multi-modality correlation features matching network.

Underwater object detection is of significant importance for exploring underwater world, however, there is little research focusing on multi-modality ...

Filament sensing tension: A bionic artificial tendon for self-force-regulated artificial muscle-driven wearable robotics.

Artificial muscles have been in development for decades and play a crucial role in the field of wearable robotics. However, a universal device for bot...

Opportunistic Screening on Chest CT, From the AJR Special Series on Screening.

The increase in chest CT volumes affords radiologists the opportunity to systematically assess imaging biomarkers, including coronary and thoracic art...

Predicting minimal clinically important difference after hip arthroscopy: logistic regression versus machine learning.

PURPOSE: Hip arthroscopy outcomes for femoroacetabular impingement (FAI) remain heterogeneous, with 30-40% of patients failing to achieve meaningful i...

Letter to the Editor: Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients.

Actor-Critic-Based Prescribed Performance Optimal Control for Flexible-Joint Robots With Input Delay.

This article presents a prescribed performance optimal control method for flexible-joint (FJ) robots with input delay. First, an auxiliary system and ...

Automated quantification of coronal balance in spinal deformity: a safety-aware clinical workflow.

The assessment of coronal balance is critical for cosmetic appearance and quality of life in patients with adolescent idiopathic scoliosis (AIS), yet ...

Assessing predictive accuracy of 2D digital templating in fluoroscopy-guided direct anterior approach total hip arthroplasty.

INTRODUCTION: Preoperative 2D digital templating aids surgical planning in total hip arthroplasty (THA). We evaluated template accuracy by comparing p...

Prediction of on-field rugby scrummaging contact forces from videos using artificial neural networks.

Rugby is a contact sport with a high risk of injury. Scrums are a key component of the game and represent a collision event associated with serious in...

Three-Dimensional human motion analysis using LiDAR technology: A systematic review.

3D Light Detection and Ranging (LiDAR) has gained increasing attention in the field of human motion analysis due to its capability to non-invasively c...

Artificial intelligence in ACL injury prediction and prevention: a systematic review.

BACKGROUND: Anterior cruciate ligament (ACL) injuries are prevalent in sports, with significant physical, economic, and long-term health impacts. Arti...