Sports Medicine

Astaxanthin ameliorates cardiac damage induced by prepubertal di(2-ethylhexyl) phthalate exposure via inhibition of PPAR-α-mediated excessive autophagy.

Di(2-ethylhexyl) phthalate (DEHP), a widely used plasticizer, impairs cardiac development and increases the risk of cardiovascular disease. Astaxanthin (ASX), a natural carotenoid, has recognized cardiovascular benefits, but its protective effects against DEHP-induced cardiac injury and underlying mechanisms remain unclear. Using transcriptomic data, bioinformatic analysis identified signaling pat...

Swallowing Dysfunction in Stroke: The Role of Nurses and Rehabilitation Strategies Across Recovery Phases.

BACKGROUND: Swallowing dysfunction is a common consequence of neurological disorders such as stroke, and may lead to malnutrition, aspiration, and reduced quality of life. Nurses are key members of the interdisciplinary team involved in the early detection and management of these issues. PURPOSE: This review explores the role of nurses in swallowing rehabilitation across the acute, recovery, and c...

Microbiome based precision medicine through integrated multiomics and machine learning.

Gut microbiome (GME) is a dynamic ecosystem composed of diverse microorganisms with extensive functional potential that influence host physiology, end...

Precision medicine in orthopaedics: A review of current technologies and future directions.

PURPOSE: To synthesise the paradigm shift towards precision medicine in orthopaedics, where individual anatomical, biomechanical, molecular and kinema...

Multi-omics technologies: Novel tools and methods for assessing nerve injury and regeneration.

Recently, with the rapid advancement of multi-omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, new tools and app...

Harnessing Artificial Intelligence in Head and Neck Oncology Practice: Data, Diagnosis, and Therapy.

Artificial intelligence (AI) has emerged as a transformative tool across the various domains of head and neck oncology. From early screening and risk ...

Beyond self-reports after anterior cruciate ligament injury - machine learning methods for classifying and identifying movement patterns related to fear of re-injury.

Anterior cruciate ligament (ACL) tears are prevalent career-ending sports injuries. A barrier to successful return to activity is fear of re-injury. E...

Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data.

Delays in stroke diagnosis contribute to long-term disability. Many patients still face barriers to effective risk factor management, timely detection...

Real-world diagnostic performance of knee MRI protocols accelerated using simultaneous multi-slice acquisition and deep learning reconstruction.

OBJECTIVE: To assess whether accelerated knee MRI protocols using simultaneous multi-slice (SMS) and deep learning reconstruction (DLR) are non-inferi...

A Window Into Vulnerability and Support: At-Risk Mothers' Perinatal Experiences and Perspectives on mHealth-Based Care.

AIM: To examine the perinatal experiences of at-risk mothers and their engagement with mobile-health-based care. DESIGN: A qualitative descriptive stu...

Multi-Frame Image Registration for Automated Ventricular Function Assessment in Single Breath-Hold Cine MRI Using Limited Labels.

PURPOSE: This study aims to develop an automated framework for operator-independent assessment of cardiac ventricular function from highly accelerated...

Patients' and physiotherapists' experiences with robotic technologies for lower extremity rehabilitation following spinal cord injury: a reflexive thematic analysis.

PURPOSE: To explore perceived benefits, barriers and motivational factors related to exercising with the robotic device ROBERT® among patients undergo...

Perioperative Acute Kidney Injury: What's New in 2025?

Perioperative acute kidney injury (AKI) is a frequent complication that affects outcomes well beyond the perioperative period. Its mechanisms remain i...

A systematic review of the role of wearable devices and artificial intelligence applications in assessing functional outcomes after lumbar fusion.

BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fusion surgeries have become more prevalent. There ha...

GPT-4o in Nutrition for Inpatients Undergoing Post-Stroke Rehabilitation: Identifying Dietary Errors, Exploring Expert-AI Rationale Differences, and Structuring AI-Expert Collaboration.

OBJECTIVE: Inpatients undergoing stroke rehabilitation experience high malnutrition rates, requiring strict dietary management. However, manual and ti...

MR Imaging of the Triangular Fibrocartilage Complex: Anatomy and Relevant Pathology.

MR imaging of the triangular fibrocartilage complex (TFCC) is technically demanding and highly dependent on the use of optimal tools, including the sc...

Robotic rehabilitation and intelligent algorithms improving the performance skills of stroke patients: a scoping review.

BACKGROUND: This scoping review highlights major advances and persisting gaps in robotic and AI-driven rehabilitation for stroke, evaluating their imp...

Influence of baseline characteristics on subjective improvement of dry eye after intense pulsed light therapy.

PURPOSE: To identify baseline clinical signs and symptoms associated with response to intense pulsed light (IPL) combined with meibomian gland express...

Probiotics, psychobiotics, and postbiotics: a therapeutic modality for the management of schizophrenia.

Schizophrenia is a debilitating, chronic neuropsychiatric disorder, a multifactorial disorder combining genetic, neurodevelopmental, immunological, an...

Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review.

BACKGROUND: Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the most common form. Despite its prevalence, accurate...