Orthopedics

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

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Showing 3760-3780 of 5,310 articles
HSGDNet: Hybrid Synthetic-Data-Guided Deep Learning With NLS Refinement for Fast Multi-Component T1ρ Knee Mapping.

Multi-component T1ρ mapping of the knee joint using nonlinear least squares (NLS)-based methods is u...

Role of Motion Tracking in Tele-Assessment of Functional Impairments in Individuals With Knee Osteoarthritis: A Scoping Review Protocol.

INTRODUCTION: Knee osteoarthritis (KOA) is a prevalent cause of disability, marked by functional imp...

A Biomimetic Titanium Scaffold With and Without Magnesium Filled for Adjustable Patient-Specific Elastic Modulus.

This study focuses on determining the effective Young's modulus (stiffness) of various lattice struc...

A Deep Learning Model for Comprehensive Automated Bone Lesion Detection and Classification on Staging Computed Tomography Scans.

RATIONALE AND OBJECTIVES: A common site of metastases for a variety of cancers is the bone, which is...

Uncalibrated Model-Free Visual Servo Control for Robotic Endoscopic with RCM Constraint Using Neural Networks.

With the advancement of robotic-assisted minimally invasive surgery, visual servo control has become...

Development of Artificial Intelligence-Assisted Lumbar and Femoral BMD Estimation System Using Anteroposterior Lumbar X-Ray Images.

The early detection and treatment of osteoporosis and prevention of fragility fractures are urgent s...

Mechanobiology-guided machine learning models for predicting long bone fracture healing across diverse scenarios.

BACKGROUND: Fracture healing is a complex, time-dependent process governed by biological and mechani...

Improving prediction of fragility fractures in postmenopausal women using random forest.

Osteoporosis is a chronic disease characterized by a progressive decline in bone density and quality...

A Novel Two-step Classification Approach for Differentiating Bone Metastases From Benign Bone Lesions in SPECT/CT Imaging.

RATIONALE AND OBJECTIVES: This study aims to develop and validate a novel two-step deep learning fra...

Pose estimation for pickleball players' kinematic analysis through MediaPipe-based deep learning: A pilot study.

Pickleball has gained popularity across diverse age groups. This sport has particular balls that req...

MRI Radiomics and Automated Habitat Analysis Enhance Machine Learning Prediction of Bone Metastasis and High-Grade Gleason Scores in Prostate Cancer.

RATIONALE AND OBJECTIVES: To explore the value of machine learning models based on MRI radiomics and...

Towards a comprehensive characterization of arteries and veins in retinal imaging.

Retinal fundus imaging is crucial for diagnosing and monitoring eye diseases, which are often linked...

Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images.

UNLABELLED: Applying HR-pQCT to image the knee necessitates the development and validation of novel ...

Recent progress in surgical treatment of cervical spine myelopathy - A narrative review.

Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remar...

The knowledge distillation-assisted multimodal model for osteoporosis screening.

BACKGROUND AND OBJECTIVE: Osteoporosis is characterized by reduced bone mass and deterioration of bo...

Radiomics classification of fresh and old vertebral compression fractures: Impact of compression grade and morphology on diagnostic performance.

OBJECTIVES: To develop a radiomics model for identifying fresh or old vertebral compression fracture...

An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels.

The diagnostic accuracy and subjectivity of existing Knee Osteoarthritis (OA) ordinal grading system...

Deep Learning Differentiates Papilledema, NAION, and Healthy Eyes With Unsegmented 3D OCT Volumes.

OBJECTIVE: Deep learning (DL) has been used to differentiate papilledema from healthy eyes and optic...

Internal sensory models allow for balance control using muscle spindle acceleration feedback.

Motor control requires sensory feedback, and the nature of this feedback has implications for the ta...

An X-ray bone age assessment method for hands and wrists of adolescents in Western China based on feature fusion deep learning models.

The epiphyses of the hand and wrist serve as crucial indicators for assessing skeletal maturity in a...

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