Orthopedics

Dynamic bone recognition for robotic vertebral plate cutting via unit energy consumption and SVM optimized by PSO.

Current orthopedic robots lack the ability to dynamically sense or accurately recognize bone layers ...

A Call for Integrated Approaches in Digital Technology Design for Aging and Disability.

The fields of aging and disability often proceed as 2 distinct lines of inquiry and action in terms ...

Is a 3-Minute Knee MRI Protocol Sufficient for Daily Clinical Practice? A SuperResolution Reconstruction Approach Using AI and Compressed Sensing.

The purpose of this study was to assess whether a 3-min 2D knee protocol can meet the needs for cli...

Editorial Commentary: Deteriorated Quality and Medial Retraction of Tendon Following Acute Traumatic Rotator Cuff Tear Are Predictors of Retear After Arthroscopic Repair.

Rotator cuff tears are a common cause of shoulder pain and dysfunction, affecting up to 33% of the p...

Author Correction: Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank.

An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians.

Accurate diagnosis of orthopedic injuries, especially pelvic and hip fractures, is vital in trauma m...

Optimizing the dynamic treatment regime of outpatient rehabilitation in patients with knee osteoarthritis using reinforcement learning.

BACKGROUND: Knee osteoarthritis (KOA) is a prevalent chronic disease worldwide, and traditional trea...

Machine learning-based survival models for predicting rehospitalization of older hip fracture patients: a retrospective cohort study.

PURPOSE: To evaluate machine learning-based survival model roles in predicting rehospitalization aft...

[The computer-aided diagnosis model of middle ear cholesteatoma based on integrated convolutional neural networks].

Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods ...

Limitations of Machine Learning-Based Feature Importance in Osteoarthritis Biomarker Discovery.

Comparing Artificial Intelligence-Generated and Clinician-Created Personalized Self-Management Guidance for Patients With Knee Osteoarthritis: Blinded Observational Study.

BACKGROUND: Knee osteoarthritis is a prevalent, chronic musculoskeletal disorder that impairs mobili...

Accuracy of Low-Dose Chest CT-Based Artificial Intelligence Models in Osteoporosis Detection: A Systematic Review and Meta-analysis.

The purpose of this study is to systematically review and evaluate the accuracy of low-dose chest CT...

Artificial intelligence assistance using deep metric learning vs. object detection in classifying lumbar disc degeneration on magnetic resonance images.

UNLABELLED: OBJECTIVE: This study aimed to assess the performance of an image retrieval system based...

Deep Learning Study of Alkaptonuria Spinal Disease Assesses Global and Regional Severity and Detects Occult Treatment Status.

Deep learning (DL) is increasingly used to analyze medical imaging, but is less refined for rare con...

Probability Score for the Diagnosis of Periprosthetic Joint Infection: Development and Validation of a Practical Multi-analyte Machine Learning Model.

Background and objective The diagnosis of periprosthetic joint infection (PJI) relies on established...

The role of the sacroiliac joint in sex estimation: Analysis of morphometry and variation types using machine learning techniques.

This study aimed to evaluate the potential of machine learning algorithms in sex estimation by going...

Inside a Metastatic Fracture: Molecular Bases and New Potential Therapeutic Targets.

INTRODUCTION: Bone metastases and pathological fractures significantly impact the prognosis and qual...

Artificial Intelligence in Spine Imaging: A Paradigm Shift in Diagnosis and Care.

Recent advancements in artificial intelligence (AI) can significantly improve radiologists' workflow...

[Applications and prospects of artificial intelligence in cervical spine surgery].

Artificial intelligence(AI) is increasingly being utilized in the research of cervical spine disease...

Deep learning image enhancement for confident diagnosis of TMJ osteoarthritis in zero-TE MR imaging.

OBJECTIVES: This study aimed to evaluate the effectiveness of deep learning method for denoising and...

Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomography.

OBJECTIVES: The current study aimed to automatically detect tooth presence, tooth numbering, and typ...