Latest AI and machine learning research in sports medicine for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) has rapidly emerged within healthcare systems and neurological rehabilitation with the potential to revolutionize clinical decision-making and therapeutic strategies. However, a comprehensive understanding of how AI is currently applied to gait and balance rehabilitation in stroke, Parkinson's disease (PD), and multiple sclerosis (MS) is still lacking. OBJE...
BACKGROUND: Increasing concern regarding long-term consequences of mild traumatic brain injury (mTBI; concussion) highlights the need for an accurate understanding of its epidemiological landscape. Current estimates of mTBI presentations to the emergency department (ED) are based on principal diagnosis International Classification of Diseases, Tenth Revision, Australian Modification (ICD-10-AM) S0...
OBJECTIVES: Acute traumatic coagulopathy is known to occur early following severe injury. However, the role and impact of both pro- and anti-inflammat...
Riboflavin is an essential water-soluble vitamin that serves as a precursor for the biosynthesis of the flavin cofactors FMN and FAD, which play pivot...
BACKGROUND AND OBJECTIVE: Nurses are essential for safeguarding public health, and their physical condition directly affects care quality and patient ...
Developing sustainable bioelectronics that simultaneously integrate mechanical robustness, high conductivity, biocompatibility, and system-level funct...
BACKGROUND: Accurate detection of glenoid labral tears remains challenging; however, it is essential for guiding treatment and return-to-play decision...
OBJECTIVES: Monitoring kidney function after acute kidney injury (AKI) hospitalisation is essential for identifying patients at risk of rapid progress...
Accurately predicting long-term outcomes after stroke remains a key challenge in personalized medicine. Here, we present a neuroimaging platform that ...
BACKGROUND: Real-time warning and prevention of sports injuries are core challenges in the fields of sports medicine and health management. Traditiona...
Reproducibility in medico-legal personal injury assessment should be regarded as a fundamental prerequisite for transparent and equitable compensation...
Elastoviscoplastic (EVP) materials pose significant challenges for predictive modeling, especially under large amplitude oscillatory shear (LAOS) cond...
BACKGROUND: Cardiac rehabilitation is an evidence-based, multidisciplinary intervention integrating therapeutic exercise, patient education, nutrition...
In many viruses, intrinsically disordered proteins (IDPs) drive the formation of replicative organelles via liquid-liquid phase separation (LLPS). In ...
BACKGROUND: Advancements in artificial intelligence have led to the widespread use of large language models such as ChatGPT in healthcare communicatio...
Meniscal tears and degenerative changes are the most common pathologies affecting the knee joint. In magnetic resonance imaging (MRI), these lesions o...
Immersive technologies have gained increasing relevance in orthopedic surgical education; however, the scope, outcomes, and maturity of extended reali...
Mechanical ventilation is a well-recognized risk factor for acute kidney injury (AKI), but the specific role of mean airway pressure (Pmean) remains i...
Artificial intelligence (AI) methods, including machine learning (ML), are transforming healthcare by enabling personalized interventions that integra...
The expanding footprint of human radiation exposure, driven by advances in interventional diagnostics, the resurgence of the nuclear industry and the ...