Sports Medicine

From mechanization to cognitive autonomy: the journey of healthcare evolution from Industry 1.0 to 6.0.

BACKGROUND: The symbiotic relationship between industrial advancement and healthcare delivery has fundamentally shaped modern medicine. This comprehensive review article explores the historical and technological trajectory from the First Industrial Revolution (Industry 1.0) to the rapidly emerging Sixth Industrial Revolution (Industry 6.0), meticulously mapping distinct industrial milestones to th...

Development and validation of natural language processing pipelines to extract injury and surgery-related data elements from ACL reconstruction operative reports.

BACKGROUND: Over 100,000 patients undergo ACLR each year in the United States, providing rich electronic medical record data to improve outcomes, but manual chart review can be time-consuming and expensive. Natural language processing (NLP) methods have been successfully used to extract information for other orthopaedic operative procedures (e.g., hip and knee arthroplasties). Different subspecial...

Bending-Stable Pressure Sensor Based on Natural Wood Nanofibers for Ultra-Low Detection Limit.

Flexible pressure sensors, essential for intelligent electronic skins, are valued for their versatility and integration. However, the inherent couplin...

Left Atrial Myopathy Across the Spectrum of Pediatric Heart Disease: Imaging, Mechanobiology, and Clinical Consequences.

Left atrial (LA) function has emerged as a critical determinant of cardiovascular performance and disease progression across the spectrum of pediatric...

Associations Between Deep Learning-Derived Infrapatellar Fat Pad Volume on MRI with Cartilage Thickness and Imaging Features of Knee Osteoarthritis: Data from the Osteoarthritis Initiative.

OBJECTIVE: To investigate associations between infrapatellar fat pad volume (IPFPVol) measured on MRI with imaging features of knee osteoarthritis. DE...

Injury prediction in sports using artificial intelligence (IPredict-AI) (PhD Academy Award).

Mortality prediction of road traffic crash with artificial intelligence: a systematic review.

BACKGROUND: Road traffic crashes cause substantial global mortality and disability. Conventional injury severity scores may not fully capture the comp...

Prehospital Injury Severity Estimate (PHISE) matches in-hospital trauma scores when embedded in AI models.

Trauma severity scores such as the Injury Severity Score (ISS) and New Injury Severity Score (NISS) are widely used for trauma benchmarking, risk stra...

Integrative multi-omics analysis identifies VCAN and ESM1 as candidate cell-type-associated biomarkers of NET-related glomerular injury in diabetic kidney disease.

Diabetic kidney disease (DKD) involves complex inflammatory and microvascular injury, but cell-specific molecular signatures linked to neutrophil extr...

AI-powered robotic assistive technologies in rehabilitation: global trends, ethical dimensions and human-centred futures.

PURPOSE: The aim of this study is to examine global research trends, the conceptual framework and emerging research themes relating to artificial inte...

Exploring the Rotational Instability Spectrum of ACL Deficiency: An Exploratory Phenotype-Based Classification Integrating Secondary Stabilizer Injury Burden.

INTRODUCTION: Anterior cruciate ligament (ACL) deficiency is traditionally viewed as a relatively homogeneous condition in which rotational instabilit...

Deep learning-based physical exercise assessment of older adults using single-camera videos.

Regular physical activity preserves functional independence in older adults, yet care-home residents often miss out because personalized supervision i...

Integrating the Metaverse Into Medical Practice: A Systematic Review of Its Potential and Applications.

INTRODUCTION: The metaverse, characterized by the convergence of virtual and physical realities, represents an emerging concept which offers immersive...

High-performance MXene/CuNWs/MH-TPU piezoresistive strain sensors fabricated via template-assisted phase separation with integrated thermal-EMI dual protection for emergency rescue.

In recent years, complex and extreme fire environments have posed a severe threat to the safety of front-line firefighters, urgently requiring high-pe...

Implementation and Evaluation of an AI-Assisted Telerehabilitation System for Postdischarge Continuation of Rehabilitative Care: Protocol for a Randomized Controlled Trial.

BACKGROUND: The World Health Organization (WHO) launched a Rehabilitation 2030 initiative to call for global action to scale up rehabilitation efforts...

Beyond the guidelines: Vascular function as the central determinant and therapeutic target in hypertension.

Hypertension has traditionally been defined and managed according to brachial blood pressure levels. Although this pressure-centric strategy has signi...

Toward intelligent wearables: engineering self-powered triboelectric nanofiber sensors for the classification of risky ankle postures.

Triboelectric nanogenerators (TENGs) have emerged as promising platforms for self-powered sensing and real-time biomechanical monitoring. However, cur...

Functional outcome prediction after traumatic cervical spinal cord injury using ensemble machine learning: a three‑center validation study.

BACKGROUND: Traumatic cervical spinal cord injury (TCSCI) often causes severe neurological dysfunction. Accurate prediction of functional recovery is ...

Evolution of the Neurometabolic Cascade of Traumatic Brain Injury.

Since the original descriptions by Giza and Hovda of the acute neurometabolic cascade of concussion 25 years ago, there has been a broad evolution in ...

A stacking based deep learning framework integrating random search neural architecture search for meniscus tear diagnosis.

BACKGROUND: Accurate and rapid diagnosis of meniscal tears is crucial for effective management of sports-related injuries and degenerative knee disord...