Sports Medicine

Screening macrophage polarization genes in spinal cord injury as therapeutic targets.

Macrophage polarization correlates strongly with the progression and prognosis of spinal cord injury (SCI), yet the therapeutic potential of macrophage polarization-related genes (MPRGs) in SCI remains unexplored. This study identified hub genes associated with MPRGs for SCI diagnosis, prognosis, and therapy. Differentially expressed genes (DEGs) between SCI and control groups were intersected wit...

How improper dataset split hinders model generalizability: a systematic comparison in Human activity recognition and exercise evaluation tasks.

BACKGROUND: Human Activity Recognition (HAR) and exercise assessment models are increasingly used in healthcare to support clinical evaluation, rehabilitation, and remote monitoring. However, their real-world applicability critically depends on the ability to generalize across unseen subjects, whose movement patterns may differ substantially due to inter-individual variability. Despite this, many ...

Practical guidance for echocardiography for cancer therapy-related cardiac dysfunction: 2026 focused update.

BACKGROUND: Cancer therapy-related cardiac dysfunction (CTRCD) has become an important clinical issue with advances in cancer treatment and improved p...

Reliability and readability of five AI chatbots for concussion health advice across retrieval augmented and pretrained models.

Generative AI is rapidly entering patient education workflows, yet its safety profile for concussion management remains undefined. Utilizing the CHART...

Self-consistent recurrent neural network for path dependent deformation.

Using data-driven machine learning (ML) models as surrogates in classical engineering is an emerging trend in the literature. However, effective surro...

Prediction of compressive strength of recycled concrete cylinders reinforced with fiber-reinforced polymer using a combined genetic algorithm and neural network approach.

Concrete is one of the most widely used construction materials and may experience cracking and erosion over time, leading to reduced strength and stru...

A biomechanical-constrained temporal learning framework for lightweight skeleton-based exercise recognition.

The recognition of exercises using skeletal pose sequences is a significant fitness technology, rehabilitation monitoring, and sports analytics. Never...

A 25-Year Bibliometric and Scientometric Analysis of Facial Paralysis Rehabilitation: Knowledge Structure, Influential Works, and Emerging Research Frontiers (2000-2025).

BACKGROUND: Facial paralysis rehabilitation has progressed substantially over the past two decades, yet the scientific landscape of this field remains...

Artificial Intelligence in Stroke Rehabilitation: A 20-Year Bibliometric Analysis of Digital Health Trends and Technologies.

BACKGROUND: Stroke remains a leading cause of long-term disability worldwide, and rehabilitation is essential for recovery. Although artificial intell...

Phenotyping and biomarkers in cardiogenic shock.

PURPOSE OF REVIEW: Cardiogenic shock (CS) remains associated with high mortality despite advances in revascularization, pharmacological therapies and ...

Exploring the mechanisms and management of sepsis-related cardiac dysfunction.

Sepsis-related cardiac dysfunction (SRCD) represents a critical determinant of both acute mortality and long-term cardiovascular morbidity in sepsis s...

Crack-Expansion Patterned Laser-Induced Graphene Strain Sensors for Machine Learning-Assisted Neck Posture Monitoring.

Prolonged exposure to electronic devices exacerbates neck health issues in modern populations. To address this challenge, we develop a flexible strain...

Evaluating Biomedical Feature Fusion on Machine Learning's Predictability and Interpretability of COVID-19 Severity Types: Model Development, Interpretation, and Validation.

BACKGROUND: Accurately differentiating severe from nonsevere COVID-19 clinical types is critical for the health care system to optimize workflow. Curr...

[Current applications and prospects of artificial intelligence in perioperative comprehensive management for gastrointestinal surgery].

The shift from the traditional empirical approach to a more data-driven method in the diagnosis and treatment of GI cancers is significant due to adva...

In-hospital electronic monitoring system approaches to epidemiologic investigation and predictive modeling of contrast-induced acute kidney injury.

Contrast-induced acute kidney injury (CI-AKI), the third most common cause of hospital-acquired kidney injury, is associated with poor clinical outcom...

A multimodal EMG and IMU dataset for assessing the quality of exercises designed for spatially constrained environments.

Regular physical training is essential for maintaining physical fitness in environments where exercise must be performed in limited space and without ...

Perceptions of artificial intelligence in healthcare and rehabilitation: a qualitative study on insights from medical officers and physical therapists in Pakistan.

Background: In healthcare and rehabilitation, artificial intelligence (AI) is being widely used in assistive devices, administration, and diagnostic s...

Systematic review on machine learning applications in Paralympic sports: current practice and future research.

PURPOSE: This review explores the applications and challenges of machine learning (ML) in Paralympic and adaptive sports, focusing on performance prof...

Advances in Cell Therapy for Neural Repair.

Neural repair remains one of the foremost challenges in modern neuroscience, as damage to the central nervous system caused by injury or neurodegenera...

Patient-Specific Constitutive Models Based on Biaxial and Microstructural Characterisation of Fresh Human Gastric Tissue.

PURPOSE: As obesity has reached pandemic proportions worldwide, improving technical solutions for its treatment requires robust planning and numerical...