Orthopedics

Prediction of Bone Formation Rate of Artificial Bone With Machine Learning Models Considering the Variation of Experimental Results.

The proportion of older people in the world's total population is expected to increase. Bone diseases are more prevalent in older people; therefore, the number of patients with such diseases is expected to increase worldwide. Artificial bone is a biomaterial used in the treatment of bone diseases. Artificial bones with high bone formation rates are desired; however, the results of artificial bone ...

Contribution of Labrum and Cartilage to Joint Surface in Different Hip Deformities: An Automatic Deep Learning-Based 3-Dimensional Magnetic Resonance Imaging Analysis.

BACKGROUND: Multiple 2-dimensional magnetic resonance imaging (MRI) studies have indicated that the size of the labrum adjusts in response to altered joint loading. In patients with hip dysplasia, it tends to increase as a compensatory mechanism for inadequate acetabular coverage.

Dynamics and design of passive tails for enhanced stability of motion.

In this work, we study the nonlinear dynamics of tail motion using numerical simulations and experiments. Our simulations are based on a discrete mode...

UANV: UNet-based attention network for thoracolumbar vertebral compression fracture angle measurement.

Kyphosis is a prevalent spinal condition where the spine curves in the sagittal plane, resulting in spine deformities. Curvature estimation provides a...

Mandibular condyle detection using deep learning and double attractor-based energy valley optimizer algorithm.

The temporomandibular joint (TMJ) constitutes a bilateral ginglymoarthrodial joint, wherein each condyle interacts with its corresponding glenoid foss...

Interpretable machine learning models for predicting childhood myopia from school-based screening data.

This study assessed the efficacy of various diagnostic indicators and machine learning (ML) models in predicting childhood myopia. A total of 2,365 ch...

Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging.

BACKGROUND AND PURPOSE: Ultra-high-resolution (UHR) photon-counting-detector (PCD) CT improves image resolution but increases noise, necessitating the...

The Role of Artificial Intelligence Large Language Models in Personalized Rehabilitation Programs for Knee Osteoarthritis: An Observational Study.

BACKGROUND: Large language models (LLMs) can contribute to treatment options and outcomes by assisting physiotherapists for conditions like osteoarthr...

Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures.

BACKGROUND: Radiographic assessment is crucial for the success of a hip arthroplasty procedure as a correctly positioned prosthesis indicates favorabl...

Activation of LAMP1-mediated lipophagy by sulforaphane inhibits cellular senescence and intervertebral disc degeneration.

BACKGROUND: Intervertebral disc degeneration (IDD) is a major cause of chronic low back pain, involving lipid dysregulation and cellular senescence in...

Concept transfer of synaptic diversity from biological to artificial neural networks.

Recent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neu...

Comparative Efficacy of ChatGPT and DeepSeek in Addressing Patient Queries on Gonarthrosis and Total Knee Arthroplasty.

BACKGROUND: The advent of artificial intelligence (AI) in healthcare has opened new avenues for patient education and anxiety reduction. This study ai...

Ground-truth-free deep learning approach for accelerated quantitative parameter mapping with memory efficient learning.

Quantitative MRI (qMRI) requires the acquisition of multiple images with parameter changes, resulting in longer measurement times than conventional im...

A hybrid PSO-FFNN approach for optimized seismic design and accurate structural response prediction in steel moment-resisting frames.

The first steel is the most prevalent material used in building. Steel's intrinsic hardness and durability make it appropriate for different uses, but...

Predicting early return to sport after periacetabular osteotomy : a machine-learning approach.

AIMS: Periacetabular osteotomy (PAO) is the primary surgical treatment for developmental dysplasia of the hip (DDH), providing considerable pain relie...

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, equipped with its deepthink feature-both enabling r...

AE-BoNet: A Deep Learning Method for Pediatric Bone Age Estimation using an Unsupervised Pre-Trained Model.

BACKGROUND: Accurate bone age assessment is essential for determining the actual degree of development and indicating a disorder in growth. While clin...

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 assist physicians in diagnosing various disorders. H...

An Appraisal of the Quality of Development and Reporting of Predictive Models in Spine Surgery.

Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) st...

Connectivity in the Human Cerebral Cortex: A Fundamental Problem and a Possible Explanation for the Cognitive Power of Vertebrates.

Recent electron microscopy reveals that weak synaptic connectivity predominates in the human cerebral cortex, raising the question of how information ...