Sports Medicine

Interface Engineering and Strain Distribution in Microcracked MXene/Carbon Nanofiber-Based Strain Sensors.

Interfacial mechanics are critical to the sensing performance of flexible strain sensors, influencing key metrics such as sensitivity, strain level, hysteresis, and long-term durability. Considering that the complex nature of multiscale interfaces within sensors and its sensing behavior arose from the overall response of interfaces rather than the individual interface, it presents a significantly ...

Neural Network-Driven Finite Element Modeling for Estimating Knee Joint Cartilage Mechanical Responses.

Low-fidelity, artificial intelligence (AI)-generated approaches are increasingly used to estimate kinematics and kinetics of human movement, which are traditionally measured by high-fidelity motion capture (Mocap) approaches. However, there are no methods to study knee joint tissue mechanics using such low-fidelity approaches. To do so, we investigated knee cartilage stresses and strains using fin...

Artificial intelligence in shoulder arthroplasty: latest concepts and clinical integration.

BACKGROUND: Recent advances in artificial intelligence (AI) have redefined shoulder arthroplasty, ultimately improving diagnostic accuracy, refining s...

Advances in wearable sensing technologies and intelligent systems for healthcare and fitness.

Wearable sensing technologies and intelligent systems have gained significant attention due to their potential to revolutionize healthcare and fitness...

MicroICS: predictive phenotyping of Listeria monocytogenes biofilms from three-dimensional structural features.

Biofilms underpin microbial survival, yet their three-dimensional structure remains difficult to quantify systematically. We present the Microbial Ima...

Injury prediction in elite women's football: an integrative machine learning-based decision-support framework.

Injuries in elite sports disrupt team performance, shorten careers, and incur significant financial costs, highlighting the critical need for accurate...

DeepKneeXR: YOLOv8 multi-label X-rays detection of knee abnormalities from sports injury with clinical explainability.

BACKGROUND: Soft-tissue knee abnormalities are common, yet first-line radiography provides limited soft-tissue contrast, whereas MRI or arthroscopy is...

Seamless human electronics interfacing through advanced skin attachable and implantable sensor technologies.

The transition from episodic clinical assessment to continuous physiological monitoring represents a transformative shift in biomedical engineering. T...

Effects of 5D built environment and non-built-environment factors on injury crash risk: An interpretable machine learning analysis.

To identify the key determinants of traffic injury risk and clarify the relative roles of built environment factors and crash-context factors, this st...

Deep learning-accelerated NEGF formalism for autonomous design of quantum transport in microscopic heterostructures.

Two-dimensional (2D) materials exhibit a wide range of electronic properties that make them promising candidates for next-generation nanoelectronic de...

Preoperative MRI and clinical indicators for predicting meniscal repairability: a machine learning-based study.

OBJECTIVES: To develop and internally validate a radiology-centered machine-learning model using preoperative MRI and clinical characteristics to pred...

Machine Learning-Based Predictive Model for Functional Independence in Spinal Cord Injury: Protocol for a Predictive Rule Development and Validation Study.

BACKGROUND: Spinal cord injury (SCI) causes substantial disability by disrupting spinal pathways, making functional independence a central rehabilitat...

High-resolution real-time mechanochromic tactile sensors.

High-resolution, real-time tactile sensing is essential for robotic tasks that demand accurate, dynamic detection of contact morphology and pressure d...

Comparative Effectiveness of AI-Assisted Telerehabilitation, Telerehabilitation, In-Person Care, and Usual Care for Chronic Nonspecific Low Back Pain: Bayesian Network Meta-Analysis.

BACKGROUND: Guided exercise is central to rehabilitation for chronic nonspecific low back pain. Telerehabilitation enables remote delivery of guided e...

High-Performance Weavable Piezoelectret Fibers via Scalable In Situ Poling Melt-Spinning for Real-Time Knee Joint Rehabilitation Monitoring.

The scalable production of high-performance piezoelectric fibers remains a major hurdle for smart textile applications. Here, we report an in situ pol...

[Digital-intelligent workflow for full-arch implant fixed prosthodontics].

Full-arch implant rehabilitation faces core challenges: insufficient impression accuracy, difficulty in precise jaw relation transfer, deviations betw...

Strain-Level Food Surveillance of Escherichia coli Using a Specific-Nonspecific Hybrid Sensor Array Strategy.

Array-based sensing platforms have advanced rapidly in recent years, offering strong potential for high-throughout and multiplexed detection. However,...

Strain alignment: toward assessing mechanical plausibility of predicted displacement fields.

PURPOSE: Commonly used accuracy metrics for non-rigid registration such as target registration error (TRE) do not assess the mechanical plausibility o...

MMP9 mediates 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)-induced osteoarthritis cartilage damage via regulating the p38 MAPK pathway: A mechanistic study based on network toxicology and multi-omics.

2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), a highly toxic persistent organic pollutant (POP), is associated with musculoskeletal disorders, yet its m...

A TabNet-SHAP framework with stability-weighted multi-method feature selection for muscle injury prediction in professional football.

Muscle injuries account for approximately 31% of all time-loss injuries in professional football, yet existing prediction models are constrained by sm...