Orthopedics

Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images.

The Kellgren-Lawrence (KL) grading system is a scoring system for classifying the severity of knee o...

Hyperautomation in Healthcare: Perspectives from a Joint IFCC - EHMA Session.

Development and optimization of AI algorithms for wrist fracture detection in children using a freely available dataset.

INTRODUCTION: In the field of pediatric trauma computer-aided detection (CADe) and computer-aided di...

Editorial: Clinical Integration of Artificial Intelligence in Spine Surgery: Stepping in a new Frontier.

Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis.

OBJECTIVE: Ankylosing spondylitis (AS) is chronic inflammatory arthritis causing structural damage a...

Machine learning and deep neural network-based learning in osteoarthritis knee.

Osteoarthritis (OA) of the knee joint is considered the commonest musculoskeletal condition leading ...

A method of bedside urethrography before catheterization in pelvic trauma in Korea: a case report.

We introduce a convenient method of urethrography before catheterization for patients with pelvic tr...

Exploring the joint potential of inflammation, immunity, and receptor-based biomarkers for evaluating ME/CFS progression.

BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic co...

Implementation of artificial intelligence models in magnetic resonance imaging with focus on diagnosis of rheumatoid arthritis and axial spondyloarthritis: narrative review.

Early diagnosis in rheumatoid arthritis (RA) and axial spondyloarthritis (axSpA) is essential to ini...

Advances in Anterolateral Approaches to the Lumbar Spine: A Focus on Technological Developments.

A historical overview of the evolution of anterolateral approaches to the lumber spine and associate...

Specimen Shape and Elution Time Affect the Mineralization and Differentiation Potential of Dental Pulp Stem Cells to Biodentine.

The liquid extract method is commonly used to evaluate the cytotoxicity and bioactivity of materials...

Depth-aware pose estimation using deep learning for exoskeleton gait analysis.

In rehabilitation medicine, real-time analysis of the gait for human wearing lower-limb exoskeleton ...

Three-dimensional Assessment of Temporomandibular Joint Volume, and Condylar and Glenoid-fossa Morphology: A Cone-beam Computed Tomography Study.

BACKGROUND: The condylar and glenoid fossa morphology can alter in patients with temporomandibular d...

Semiautomatic Assessment of Facet Tropism From Lumbar Spine MRI Using Deep Learning: A Northern Finland Birth Cohort Study.

STUDY DESIGN: This is a retrospective, cross-sectional, population-based study that automatically me...

A Novel Technique of Arthroscopic-Assisted Four-Corner Fusion and Robot-Assisted Fixation for Scaphoid Nonunion Advanced Collapse Wrist: A Single Case Study.

OBJECTIVE: Scaphoid nonunion advanced collapse (SNAC) is a relatively common and debilitating wrist ...

Expanding from unilateral to bilateral: A robust deep learning-based approach for predicting radiographic osteoarthritis progression.

OBJECTIVE: To develop and validate a deep learning (DL) model for predicting osteoarthritis (OA) pro...

Deep Learning Augmented Osteoarthritis Grading Standardization.

Manual grading of cartilage histology images for investigating the extent and severity of osteoarthr...

Artificial intelligence for X-ray scaphoid fracture detection: a systematic review and diagnostic test accuracy meta-analysis.

OBJECTIVES: Scaphoid fractures are usually diagnosed using X-rays, a low-sensitivity modality. Artif...

BoneXpert-derived bone health index reference curves constructed on healthy Indian children and adolescents.

BACKGROUND: Artificial intelligence (AI)-based applications for the assessment of the paediatric mus...

Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.

INTRODUCE: Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and osteoarthritis (OA) are three...

Training multi-source domain adaptation network by mutual information estimation and minimization.

We address the problem of Multi-Source Domain Adaptation (MSDA), which trains a neural network using...