Sports Medicine

Development and external validation of a machine learning model for predicting tigecycline-associated drug-induced liver injury.

Tigecycline (TGC) is widely used to treat severe multidrug-resistant infections but can cause drug-induced liver injury. Existing prediction studies frequently lack external validation and offer limited clinical interpretability. We performed a multicenter retrospective cohort study of 1,946 adult inpatients who received TGC at three tertiary hospitals in Jiangsu, China. Liver injury was defined b...

1-D Collocated Dual-Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology.

Wearable interfaces that capture both weak physiological fluctuations and large body motions remain difficult to realize in a single fiber because most strain-sensing fibers are governed by one dominant electromechanical response mode. Consequently, mechanically distinct deformation regimes are ambiguously represented, limiting sensing range and information quality for downstream motion interpreta...

An overview of current and emerging strategies for phantom limb pain.

INTRODUCTION: Phantom limb pain (PLP) is a disabling neuropathic pain syndrome affecting many individuals following limb amputation. Despite decades o...

Easy-to-use EMG system to decode hand movements in people with spinal cord injury.

Objective Loss of hand function following spinal cord injury (SCI) severely impacts independence and quality of life. Restoring volitional hand co...

Highly sensitive self-powered pressure sensor with high power output based on electrochemical reactions for rehabilitation monitoring.

Self-powered electrochemical pressure sensors have aroused considerable research interest owing to their capability of sensing both static and dynamic...

Global burden of traumatic brain injury from 1990 to 2021 and projections to 2050: A GBD 2021-based study using interpretable machine learning.

Traumatic brain injury (TBI) is a major cause of disability and socioeconomic burden worldwide. Using updated Global Burden of Disease Study 2021 esti...

AI awareness, AI fear of missing out, and work demotivation as pathways to occupational strain in Vietnamese hospitality employees.

Artificial intelligence (AI) is reshaping hospitality work and changing how employees perceive occupational risks and their capacity to adapt. How the...

Beyond Thresholds: Can Machine Learning Improve Trauma Field Triage?

BackgroundAccurate triage of trauma patients by Emergency Medical Services (EMS) is essential for optimal outcomes and resource allocation. The 2021 N...

Early Identification of Recovery Potential After Acute Brain Injury Using Functional Near-Infrared Spectroscopy.

BACKGROUND: Accurate early prognostication in patients with acute brain injury remains a major challenge in neurocritical care. Conventional bedside a...

Evaluating performance and potential clinical benefit of the Swedish On Scene Injury Severity Prediction (OSISP) model for prehospital field triage on Norwegian trauma data.

BACKGROUND: Rule-based field triage protocols used by Emergency Medicine Service (EMS) personnel for assessment and prioritization of trauma patients ...

Advancing spine connectomics and neural integration through machine learning and neuroengineering: a narrative review.

PURPOSE: Spinal connectomics is increasingly shifting understanding of the spinal cord from a simple reflex relay toward an active system that contrib...

Metabolomic Profiling and Machine Learning-Based Prediction of High-Dose Methotrexate-Induced Liver Injury in Pediatric Acute Lymphoblastic Leukemia.

BACKGROUND: High-dose methotrexate (HD-MTX) is essential for pediatric acute lymphoblastic leukemia (ALL) but frequently causes hepatotoxicity. To add...

Development and Internal Validation of an Automated CT-Based Model for Early Mortality Prediction in Traumatic Brain Injury.

OBJECTIVE: Traumatic brain injury outcomes are strongly influenced by intracranial hemorrhage burden, midline shift, and secondary hypoxic injury. Alt...

Autonomous ground vehicles for MEDEVAC: capability assessment based on agent-based modelling.

INTRODUCTION: Medical evacuation (MEDEVAC) is a crucial component of military healthcare, and the time during which evacuation of the wounded, injured...

Complete Computational Exploration of Eight-Carbon Hydrocarbon Chemical Space.

Hydrocarbons are the most fundamental class of chemical species, but even the chemical space of those with 8 carbon atoms or less has not been explore...

Chemical-Sensing Catheters for Long-Term and Personalized Therapeutic Management.

Long-term intravenous catheterization is vital for delivering chemotherapy to cancer patients and parenteral nutrition to those with intestinal failur...

The Future of Imaging in Heart Failure: Toward Precision Phenotyping, Integration, and Intelligence.

PURPOSE OF REVIEW: Heart failure (HF) is increasingly understood not as a single, uniformly treated diagnosis but as a heterogeneous syndrome requirin...

Toward ubiquitous surgical assistance services via private 5G infrastructure.

PURPOSE: Advanced data processing methods, including artificial intelligence (AI), are increasingly integrated into clinical practice, improving treat...

Physics-Informed Neural Networks for Real-Time Muscle-Tendon Force Estimation from Wearable Sensors.

Clinicians currently lack practical tools to quantify muscle-tendon forces outside of research laboratories, limiting load-management decisions during...

Domain-specific functional outcome prediction in stroke rehabilitation: A multicenter artificial intelligence study.

BACKGROUND: Stroke is a leading cause of long-term disability worldwide, yet existing clinical decision support tools rely on global disability metric...