Orthopedics

Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration.

BACKGROUND: Low back pain resulting from intervertebral disc degeneration (IVDD) represents a signif...

PREDICTING IN-HOSPITAL MORTALITY IN CRITICAL ORTHOPEDIC TRAUMA PATIENTS WITH SEPSIS USING MACHINE LEARNING MODELS.

Purpose: This study aims to establish and validate machine learning-based models to predict death in...

Multimodal Deep Learning-based Radiomics Approach for Predicting Surgical Outcomes in Patients With Cervical Ossification of the Posterior Longitudinal Ligament.

Editorial Commentary: Anterior Cruciate Ligament Patients Must Be Provided With Both Motivation and Tools to Continue Physical Therapy, Supervised or Independently, Beyond the Early Recovery Phase.

Given the current American health insurance environment, many patients do not access physical therap...

Multitask learning for automatic detection of meniscal injury on 3D knee MRI.

Magnetic resonance imaging (MRI) of the knee is the recommended diagnostic method before invasive ar...

Advances in Artificial Intelligence for automated knee osteoarthritis classification using the IKDC system.

INTRODUCTION: Knee osteoarthritis is one of the most prevalent and debilitating musculoskeletal dise...

Bioinspired design and validation of a soft robotic end-effector with integrated shape memory alloy-driven suction capabilities.

The exploration of adaptive robotic systems capable of performing complex tasks in unstructured envi...

A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training.

Brain-computer interfaces (BCIs) provide a direct pathway from the brain to external devices and hav...

A Machine Learning-Based Prediction Model for the Probability of Fall Risk Among Chinese Community-Dwelling Older Adults.

Fall is a common adverse event among older adults. This study aimed to identify essential fall facto...

Application of machine learning to identify risk factors for outpatient opioid prescriptions following spine surgery.

INTRODUCTION: Spine surgery is a common source of narcotic prescriptions and carries potential for l...

Juxtaposition of bone age and sexual maturity rating of the Taiwanese population.

BACKGROUND: Bone age (BA) and sexual maturity rating (SMR) are crucial measures in assessing adolesc...

BMSMM-Net: A Bone Metastasis Segmentation Framework Based on Mamba and Multiperspective Extraction.

RATIONALE AND OBJECTIVES: Metastatic bone tumors significantly reduce patients' quality of life and ...

MicroRNA signature for early prediction of knee osteoarthritis structural progression using integrated machine and deep learning approaches.

OBJECTIVE: Conventional methodologies are ineffective in predicting the rapid progression of knee os...

Developing predictive models for residual back pain after percutaneous vertebral augmentation treatment for osteoporotic thoracolumbar compression fractures based on machine learning technique.

BACKGROUND: Machine learning (ML) has been widely applied to predict the outcomes of numerous diseas...

Cell quantification at the osteochondral interface from synchrotron radiation phase contrast micro-computed tomography images using a deep learning approach.

Osteochondral interface consists of two tissues: the calcified cartilage (CC) containing chondrocyte...

Automatic jawbone structure segmentation on dental CBCT images via deep learning.

OBJECTIVES: This study developed and evaluated a two-stage deep learning-based system for automatic ...

A Clinical Prediction Rule for Predicting the Health-related Quality of Life after 5 Months in Patients with Knee Osteoarthritis Undergoing Conservative Treatment.

OBJECTIVE: This study aimed to derive a clinical prediction rule (CPR) that can predict changes in h...

Bonevoyage: Navigating the depths of osteoporosis detection with a dual-core ensemble of cascaded ShuffleNet and neural networks.

BACKGROUND: Osteoporosis (OP) is a condition that significantly decreases bone density and strength,...

Concurrent validity and test reliability of the deep learning markerless motion capture system during the overhead squat.

Marker-based optical motion capture systems have been used as a cardinal vehicle to probe and unders...

Categorization of Novel Research Ideas Regarding Adolescent Idiopathic Scoliosis Generated by Artificial Intelligence.

Background  The generation of innovative research ideas is crucial to advancing the field of medicin...

Automatic 3-D Lamina Curve Extraction From Freehand 3-D Ultrasound Data Using Sequential Localization Recurrent Convolutional Networks.

Freehand 3-D ultrasound imaging is emerging as a promising modality for regular spine exams due to i...