Sports Medicine

Lipid nanoparticle (LNP) mediated mRNA delivery in neurodegenerative diseases.

Neurodegenerative diseases (NDD) are characterized by the progressive loss of neurons and the impairment of cellular functions. Messenger RNA (mRNA) has emerged as a promising therapy for treating NDD, as it can encode missing or dysfunctional proteins and anti-inflammatory cytokines or neuroprotective proteins to halt the progression of these diseases. However, effective mRNA delivery to the cent...

Role of Artificial Intelligence in Musculoskeletal Interventions.

Artificial intelligence (AI) has rapidly emerged as a transformative force in musculoskeletal imaging and interventional radiology. This article explores how AI-based methods-including machine learning (ML) and deep learning (DL)-streamline diagnostic processes, guide interventions, and improve patient outcomes. Key applications discussed include ultrasound-guided procedures for joints, nerves, an...

Identifying factors affecting crash injury severity of pillion riders using interpretable machine learning techniques.

In India, motorized two-wheeler (TW) riders account for 44.5% of fatal road crashes. While factors affecting drivers have been studied, research on pi...

Assessing and validating machine learning-enhanced imputation of admission American Spinal Injury Association Impairment Scale grades for spinal cord injury.

OBJECTIVE: The American Spinal Injury Association Impairment Scale (AIS) assigned at patient admission is an important predictor of outcomes following...

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 population, and approximately 250,000 arthroscopic ...

Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods.

An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation, to their families, and healthcare providers. This...

Accelerating multi-objective optimization of concrete thin shell structures using graph-constrained GANs and NSGA-II.

In architectural and engineering design, minimizing weight, deflection, and strain energy requires navigating complex, non-linear interactions among c...

Active Sampling for MRI-based Sequential Decision Making

Despite the superior diagnostic capability of Magnetic Resonance Imaging (MRI), its use as a Point-of-Care (PoC) device remains limited by high cost...

Modeling Personalized Difficulty of Rehabilitation Exercises Using Causal Trees

Rehabilitation robots are often used in game-like interactions for rehabilitation to increase a person's motivation to complete rehabilitation exerc...

Automated ARAT Scoring Using Multimodal Video Analysis, Multi-View Fusion, and Hierarchical Bayesian Models: A Clinician Study

Manual scoring of the Action Research Arm Test (ARAT) for upper extremity assessment in stroke rehabilitation is time-intensive and variable. We pro...

Deep Learning-based Aligned Strain from Cine Cardiac MRI for Detection of Fibrotic Myocardial Tissue in Patients with Duchenne Muscular Dystrophy.

Purpose To develop a deep learning (DL) model that derives aligned strain values from cine (noncontrast) cardiac MRI and evaluate performance of these...

SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses

While deep learning has shown strong performance in musculoskeletal imaging, existing work has largely focused on pathologies where diagnosis is not...

Dynamic Arthroscopic Navigation System for Anterior Cruciate Ligament Reconstruction Based on Multi-level Memory Architecture

This paper presents a dynamic arthroscopic navigation system based on multi-level memory architecture for anterior cruciate ligament (ACL) reconstru...

Robotic Trail Maker Platform for Rehabilitation in Neurological Conditions: Clinical Use Cases

Patients with neurological conditions require rehabilitation to restore their motor, visual, and cognitive abilities. To meet the shortage of therap...

[Trajectory planning and tracking control for upper limb traction rehabilitation training].

To solve the safety problems caused by the restriction of interaction space and the singular configuration of rehabilitation robot in terminal tractio...

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance

Menisci are cartilaginous tissue found within the knee that contribute to joint lubrication and weight dispersal. Damage to menisci can lead to onse...

Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models

This study investigates the application of novel model architectures and large-scale foundational models in temporal series analysis of lower limb r...

Trust as a Solution to Human Vulnerability: Ethical Considerations on Trust in Care Robots.

In the care sector, professionals face numerous challenges, such as a lack of resources, overloaded wards, physical and psychological strain, stressfu...

Artificial Intelligence in Cardiac Rehabilitation: Assessing ChatGPT's Knowledge and Clinical Scenario Responses.

OBJECTIVE: Cardiac rehabilitation (CR) improves survival, reduces hospital readmissions, and enhances quality of life; however, participation remains ...

Evaluation of the phi-3-mini SLM for identification of texts related to medicine, health, and sports injuries

Small Language Models (SLMs) have potential to be used for automatically labelling and identifying aspects of text data for medicine/health-related ...