Orthopedics

Improving Deep Learning-Based Grading of Partial-thickness Supraspinatus Tendon Tears with Guided Diffusion Augmentation.

RATIONALE AND OBJECTIVES: To develop and validate a deep learning system with guided diffusion-based...

The imaging crisis in axial spondyloarthritis.

Imaging holds a pivotal yet contentious role in the early diagnosis of axial spondyloarthritis. Alth...

Age and sex-specific differences of the intrafemoral and intratibial morphology using the Citak classification in patients undergoing total knee arthroplasty.

PURPOSE: Unlike established knee phenotype classifications, the recently introduced Citak classifica...

AI-driven optimization of spinal implant design using parametric modelling.

This study aimed to enhance vertebral implant design by using a parametric spine model and advanced ...

Deep learning for detecting periapical bone rarefaction in panoramic radiographs: a systematic review and critical assessment.

OBJECTIVES: To evaluate deep learning (DL)-based models for detecting periapical bone rarefaction (P...

Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI.

Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...

Insights From Inputs: Enhancing Revision Total Joint Arthroplasty Resource Allocation With Machine Learning Prediction.

BACKGROUND: Revision total knee arthroplasty (rTKA) and revision total hip arthroplasty (rTHA) are a...

Accelerated ultrashort echo time quantitative magnetization transfer (UTE-qMT) imaging of macromolecular fraction (MMF) in cortical bone based on a self-attention convolutional neural network.

PURPOSE: To combine ultrashort echo time quantitative magnetization transfer (UTE-qMT) imaging with ...

Application of deep learning for detection of nasal bone fracture on X-ray nasal bone lateral view.

OBJECTIVES: This study aimed to assess the efficacy of deep learning applications for the detection ...

mmWave Radar for Sit-to-Stand Analysis: A Comparative Study With Wearables and Kinect.

This study investigates a novel approach for analyzing Sit-to-Stand (STS) movements using millimeter...

Integrating Artificial Intelligence into Mixed Reality for Back Detection and Virtual 3D Spine Visualization on Scoliosis Patients.

Adolescent Idiopathic Scoliosis is a complex three-dimensional spinal deformity that typically devel...

Comprehensive Prediction of the Relative Modulus of Strut-Based Gyroid Lattice Structures Employing an ML-Based Surrogate Model.

Due to its porous structure, tunable properties, and nearly isotropic characteristics, the Gyroid La...

Investigating the potential risk of cadmium exposure on Osteoporosis: An integrated multi-omics approach.

Osteoporosis (OP) is a chronic progressive bone disease, and its occurrence and development under ca...

LiDSCUNet++: A lightweight depth separable convolutional UNet++ for vertebral column segmentation and spondylosis detection.

Accurate computer-aided diagnosis systems rely on precise segmentation of the vertebral column to as...

Evaluating DeepResearch and DeepThink in anterior cruciate ligament surgery patient education: ChatGPT-4o excels in comprehensiveness, DeepSeek R1 leads in clarity and readability of orthopaedic information.

PURPOSE: This study compares ChatGPT-4o, equipped with its deep research feature, and DeepSeek R1, e...

Artificial intelligence-assisted analysis of musculoskeletal imaging-A narrative review of the current state of machine learning models.

The potential of Artificial intelligence (AI) is increasingly recognized in musculoskeletal radiolog...

Differentiation of Healthy Ex Vivo Bovine Tissues Using Raman Spectroscopy and Interpretable Machine Learning.

OBJECTIVES: Integrating machine learning with Raman spectroscopy (RS) shows strong potential for int...

AI in Orthopedic Research: A Comprehensive Review.

Artificial intelligence (AI) is revolutionizing orthopedic research and clinical practice by enhanci...

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

Prediction of B/T Subtype and ETV6-RUNX1 Translocation in Pediatric Acute Lymphoblastic Leukemia by Deep Learning Analysis of Giemsa-Stained Whole Slide Images of Bone Marrow Aspirates.

BACKGROUND: Accurate determination of B/T-cell lineage and the presence of the ETV6-RUNX1 translocat...

Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images.

OBJECTIVES: This study evaluated the performance of a multi-stage Segmentation Residual Network (Seg...