Orthopedics

Spinal robotics in cervical spine surgery: a systematic review with key concepts and technical considerations.

OBJECTIVE: Spinal robotics for thoracolumbar procedures, predominantly employed for the insertion of...

Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction.

Wearable strain sensors that detect joint/muscle strain changes become prevalent at human-machine in...

Multinomial Convolutions for Joint Modeling of Regulatory Motifs and Sequence Activity Readouts.

A common goal in the convolutional neural network (CNN) modeling of genomic data is to discover spec...

Association between phthalate exposure and accelerated bone maturation in Chinese girls with early puberty onset: a propensity score-matched case-control analysis.

Estrogen can promote the acceleration of bone maturation and phthalate esters (PAEs) have estrogen-m...

Femoral image segmentation based on two-stage convolutional network using 3D-DMFNet and 3D-ResUnet.

OBJECTIVE: The femur is a typical human long bone with an irregular spatial structure. Femoral fract...

Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT images.

OBJECTIVES: Evaluating the diagnostic efficiency of deep learning models to diagnose vertical root f...

A New Strategy for Disc Cutter Wear Status Perception Using Vibration Detection and Machine Learning.

Carrying out status monitoring and fault-diagnosis research on cutter-wear status is of great signif...

Detection Method of Athlete Joint Injury Based on Deep Learning Model.

The research on accurate and intelligent segmentation of knee joint MRI images is of great significa...

Effect of button layout on the exploration and learning of robot operation using an unfamiliar controller.

Robots are becoming increasingly accessible to both experts and non-experts. Therefore, establishing...

Radiomics and Deep Learning for Disease Detection in Musculoskeletal Radiology: An Overview of Novel MRI- and CT-Based Approaches.

Radiomics and machine learning-based methods offer exciting opportunities for improving diagnostic p...

Joint Label Inference and Discriminant Embedding.

Graph-based learning in semisupervised models provides an effective tool for modeling big data sets ...

Sex Imbalance Produces Biased Deep Learning Models for Knee Osteoarthritis Detection.

Natural Language Processing in Spine Surgery: A Systematic Review of Applications, Bias, and Reporting Transparency.

BACKGROUND: Natural language processing (NLP) is a discipline of machine learning concerned with the...

Classifying Temporomandibular Disorder with Artificial Intelligent Architecture Using Magnetic Resonance Imaging.

This study proposes a new diagnostic tool for automatically extracting discriminative features and d...

Synthetic CT in Musculoskeletal Disorders: A Systematic Review.

Repeated computed tomography (CT) examinations increase patients' ionizing radiation exposure and he...

A Joint Automatic Modulation Classification Scheme in Spatial Cognitive Communication.

Automatic modulation discrimination (AMC) is one of the critical technologies in spatial cognitive c...

Adaptive Biological Neural Network Control and Virtual Realization for Engineering Manipulator.

By analyzing the feasibility of the digital twin technology in the assembly of construction machiner...

Biomedical Diagnosis of Leukemia Using a Deep Learner Classifier.

Leukemia cancer is the most common type of cancer that occurs in childhood. The most common types ar...

Answer to the letter to the editor by Zhi-Hui Dai concerning "Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion" by Rudisill SS et al. (Eur Spine J [2022]; doi: 10.1007/s00586-022-07238-3).

Improvement of Patient Classification Using Feature Selection Applied to Bidirectional Axial Transmission.

Osteoporosis is still a worldwide problem, particularly due to associated fragility fractures. Patie...

Deep learning-based landmark recognition and angle measurement of full-leg plain radiographs can be adopted to assess lower extremity alignment.

PURPOSE: Evaluating lower extremity alignment using full-leg plain radiographs is an essential step ...