Sports Medicine

Progress and perspectives in soft robotics for surgery and rehabilitation.

Soft robotic systems have become a promising technology in the biomedical field due to their higher safety, dexterity and adaptability compared to traditional rigid robotic systems. This review focuses on recent advances in soft robotic systems applied to surgical assistance and rehabilitation. In surgery, soft grippers and flexible endoscopes show better adaptability, dexterity, and miniaturizati...

A four-gene signature for diagnosis of acute kidney injury following kidney transplantation.

Acute kidney injury (AKI) is a common and severe complication following renal transplantation, largely driven by ischemia-reperfusion injury (IRI). However, reliable biomarkers for post-transplant AKI remain unavailable. In this study, we analyzed transcriptomic datasets from multiple cohorts to identify robust gene signatures associated with transplant-related AKI. Weighted gene co-expression net...

Comparison Between Robotic and Conventional Walking Recovery Training Methods in People With Spinal Cord Injury: Systematic Review With Pairwise and Network Meta-Analysis.

OBJECTIVE: To compare robotic body weight supported treadmill training (RBWSTT), overground robotic exoskeleton training (ORET), and conventional phys...

Multimodal engagement estimation in paediatric robot-assisted gait training: integrating physiological sensing and biomechanical interaction.

BACKGROUND: Patients' engagement plays a crucial role in the effectiveness of robot-assisted gait training (RAGT), particularly in paediatric neuroreh...

Stem Cell Therapy for Traumatic Brain Injury: Translational Mechanisms, Biomarkers, and Clinical Trials.

Traumatic brain injury (TBI) is a leading cause of persistent cognitive, motor, and neuropsychiatric impairment, arising from both the initial mechani...

A selective deep learning framework for pressure injury staging with calibrated confidence and automated clinical documentation.

OBJECTIVES: Pressure injuries are common chronic wounds that require accurate staging to guide management. Deep learning has shown promise for automat...

Wearable sensor technology and machine learning for anterior cruciate ligament injury diagnosis: an exploratory feasibility study.

OBJECTIVES: To evaluate the feasibility of using wearable inertial measurement units (IMUs; small body-worn sensors that capture linear acceleration a...

Mechanical and flexural fatigue behaviour of steel fibre reinforced RAP-based concrete: experimental and machine learning investigation.

This study examines the mechanical and flexural fatigue behaviour of concrete with reclaimed asphalt pavement (RAP) aggregates with and without steel ...

Risk stratification for in-hospital mortality in sepsis-associated acute kidney injury patients receiving continuous renal replacement therapy: an interpretable, externally validated machine learning study.

Patients with sepsis-associated acute kidney injury (SA-AKI) requiring continuous renal replacement therapy (CRRT) have a high risk of in-hospital mor...

Factors Associated With an LLM Arriving at the Same Diagnosis as a Musculoskeletal Specialist.

INTRODUCTION: Large language models (LLMs) can generate plausible diagnoses from patient symptom descriptions and convey complex medical information i...

Grading knee cartilage degeneration and meniscal injury with combined ACS-accelerated T1ρ and T2 mapping.

OBJECTIVE: To evaluate the diagnostic performance of artificial intelligence-compressed sensing (ACS)-accelerated T1ρ mapping combined with convention...

Integrated toxicological analysis links air pollution-associated acute respiratory distress syndrome signatures to benzo[a]pyrene-induced acute lung injury.

Acute respiratory distress syndrome (ARDS) is associated with high mortality, and increasing evidence suggests that air pollution may contribute to it...

Machine learning-assisted prediction of PANoptosis-related molecular targets and precise screening of neuroprotective drugs for spinal cord injury.

Spinal cord injury (SCI) is a highly disabling central nervous system disease with complex pathology, and targeted neuroprotective drugs remain clinic...

Implementing Digital Respiratory Technologies for People With Respiratory Conditions: Scoping Review.

BACKGROUND: Digital health offers opportunities for safe, equitable, and accessible care, and its integration into respiratory care is a strategic pri...

Neuroimaging studies of non-suicidal self-injury in young adults with major depressive disorder.

Non-suicidal self-injury (NSSI) is highly prevalent in adolescents with major depressive disorder (MDD), elevating suicide risk and indicating poor pr...

Integrative Phenogroups Based on Lung Imaging and Spirometry from Young Adulthood to Midlife and Associations with Subclinical Cardiac Structure and Function.

BACKGROUND: Chronic lung disease and heart failure (HF) commonly co-occur, share modifiable risk factors, and are preceded by a prolonged, heterogeneo...

The Concept of Shaping Applied to Locomotor Interventions: Clinical and Robotic Strategies to Facilitate and Progress Variable Stepping Training at Higher Intensities.

High-intensity training (HIT) focused on stepping practice consistently improves clinical locomotor outcomes in individuals with neurologic injury. Ho...

Augmenting clinical decision-making with large language models: evaluation across general and specialty tasks.

OBJECTIVE: Large language models (LLMs) have shown promise in clinical applications, yet prior studies mainly evaluated their standalone performance o...

PREPARE: Personalised Rehabilitation via Novel AI Patient Stratification Strategies. The Case for Idiopathic Scoliosis During Growth.

Drafting an Individual Rehabilitation Project requires precise goal-setting based on functional prognosis. However, patient stratification in rehabili...

Toward Precision Cardiac Rehabilitation: Current Limitations and Future Opportunities of Omics and Artificial Intelligence.

Cardiovascular disease involves complex molecular, cellular, and physiological derangements that present challenges for traditional diagnostic and the...