Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

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SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement.

Spinal fusion surgery requires highly accurate implantation of pedicle screw implants, which must be...

An automated framework for pediatric hip surveillance and severity assessment using radiographs.

PURPOSE: Hip dysplasia is the second most common orthopedic condition in children with cerebral pals...

Joint weight optimization for partial domain adaptation via kernel statistical distance estimation.

The goal of Partial Domain Adaptation (PDA) is to transfer a neural network from a source domain (jo...

Socratic Artificial Intelligence Learning (SAIL): The Role of a Virtual Voice Assistant in Learning Orthopedic Knowledge.

OBJECTIVE: We hypothesized that learning through multiple sensory modalities would improve knowledge...

Screening of genes co-associated with osteoporosis and chronic HBV infection based on bioinformatics analysis and machine learning.

OBJECTIVE: To identify HBV-related genes (HRGs) implicated in osteoporosis (OP) pathogenesis and dev...

Investigating artificial intelligence models for predicting joint pain from serum biochemistry.

OBJECTIVE: The study used machine learning models to predict the clinical outcome with various attri...

A Novel Bilateral Underactuated Upper Limb Exoskeleton for Post-Stroke Bimanual ADL Training.

This paper introduces a lightweight bilateral underactuated upper limb exoskeleton (UULE) designed t...

Machine learning for predicting duration of surgery and length of stay: A literature review on joint arthroplasty.

INTRODUCTION: In recent years, different factors such as population aging have caused escalating dem...

Artificial intelligence and machine learning algorithms in diagnosis and therapy of the ankle joint.

The recent advancement of computational systems provides fast information exchange and the collectio...

Deep Learning for Automated Classification of Hip Hardware on Radiographs.

PURPOSE: To develop a deep learning model for automated classification of orthopedic hardware on pel...

Artificial Intelligence-Based Surgery Support Model Using Intraoperative Radiographs for Assessing the Acetabular Component Angle.

BACKGROUND: This study aimed to develop an artificial intelligence-based surgical support model for ...

Squid-Inspired Anti-Salt Skin-Like Elastomers With Superhigh Damage Resistance for Aquatic Soft Robots.

Cephalopod skins evolve multiple functions in response to environmental adaptation, encompassing non...

Subject-level spinal osteoporotic fracture prediction combining deep learning vertebral outputs and limited demographic data.

UNLABELLED: Automated screening for vertebral fractures could improve outcomes. We achieved an AUC-R...

Machine learning algorithm-based biomarker exploration and validation of mitochondria-related diagnostic genes in osteoarthritis.

The role of mitochondria in the pathogenesis of osteoarthritis (OA) is significant. In this study, w...

MR Cranial Bone Imaging: Evaluation of Both Motion-Corrected and Automated Deep Learning Pseudo-CT Estimated MR Images.

BACKGROUND AND PURPOSE: CT imaging exposes patients to ionizing radiation. MR imaging is radiation f...

Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults.

Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily li...

An open dataset for oracle bone character recognition and decipherment.

Oracle bone script, one of the earliest known forms of ancient Chinese writing, presents invaluable ...

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