Sports Medicine

A SHAP-based machine learning approach to decoding the relationship between running posture features and tibial load in novice runners with MTSS: towards accurate and intelligent rehabilitation strategies.

BACKGROUND: This study systematically investigates the relationship between running posture and tibial load in novice runners using machine learning methods from the field of artificial intelligence. The aim is to provide scientific evidence for the precise prevention and personalized rehabilitation of Medial Tibial Stress Syndrome (MTSS). METHODS: A total of 174 novice runners diagnosed with MTSS...

Effect of a sports-medicine-guided football program on physical fitness in adolescents: A controlled school-based trial.

Integrating artificial intelligence (AI) with sports medicine principles into school-based physical education may enhance physical fitness and reduce injury risk among adolescents. This study aimed to evaluate whether a 10-week sports-medicine-guided football curriculum augmented with explainable machine-learning feedback produces greater improvements in physical fitness and injury-prevention outc...

Predicting poor wrist function recovery after internal fixation of distal radius fractures: A retrospective study based on multivariate analysis and machine learning models.

This study aimed to identify independent risk factors associated with poor wrist function recovery 6 months after internal fixation of distal radius f...

Metagenomic polymorphic toxin effector and immunity profiling predicts microbiome development and disease-related dysbiosis.

Bacteria use antagonistic interbacterial weapons, such as polymorphic toxin secretion systems (TSS), to compete for niches in the human gut microbiome...

Advances in Technology-Assisted Visual Rehabilitation Therapies: Scoping Review.

Visual impairment (VI) is a growing condition associated with aging, neurological diseases, and chronic eye conditions. In 2023, more than 2.2 billion...

Quantitative Ergonomic Assessment of Long Handle Farming Tools Among Women Farmers Using Camera-Based Analysis.

HIGHLIGHTS: Moderate handle lift angles (27°-56°) and handle lift heights (545-1111 mm) reduce hip/shoulder flexion. Lighter tools (<2.0 kg) lower MSD...

Understanding Blood-Injection-Injury Phobia: Do Not Miss the Point.

Needle and blood-injection-injury phobia is commonly encountered in the perioperative setting. It can significantly disrupt operating room throughput,...

Effectiveness of tele-rehabilitation using AI-guided exercise and pain neuroscience education for fibromyalgia (FIBROIA): Protocol for a randomized controlled trial.

INTRODUCTION: Fibromyalgia (FM) is a chronic condition characterized by widespread pain and cognitive dysfunction, with pharmacological treatments off...

Random Forest Model for the Prediction of Herbal-Induced Liver Injury: Application to Molecules from the West African Pharmacopoeia.

Herbal medicines play a crucial role in primary healthcare across West Africa, yet their potential for liver toxicity remains poorly documented. Predi...

Advancing Pediatric Rehabilitation Documentation via Neuro-Symbolic AI.

For automated documentation systems to be meaningful in pediatric rehabilitation, they must accurately capture and summarize information about a child...

Co-Designing AI-Supported Clinical Documentation for Rehabilitation.

Clinical documentation is vital for continuity of care but increasingly burdensome due to administrative demands. This study applies a co-design appro...

Exploring Documentation Burden and the Use of Artificial Intelligence Among Swiss Rehabilitation Professionals.

This cross-sectional online survey presents preliminary results examining Swiss occupational and physical therapists' (OTs/PTs) documentation burden a...

Hyperbaric oxygen in the artificial intelligence era: integration and innovation.

Hyperbaric oxygen therapy is established for decompression illness, carbon monoxide poisoning, radiation-induced tissue injury, and diabetic foot ulce...

Diagnostic Accuracy of Pressure Injury Risk Assessment Tools for Critically Ill Patients: A Systematic Review and Network Meta-Analysis.

AIMS AND OBJECTIVES: To systematically evaluate and compare the diagnostic accuracy of pressure injury risk assessment tools in critically ill adult p...

Upregulation of the Mitophagy-Related Gene EXOSC4 Is Associated with Immune Dysregulation in Spinal Cord Injury.

Spinal cord injury (SCI) profoundly impairs patients' quality of life and imposes a substantial economic burden on society, often resulting in irrever...

Validation of a fully automated workflow for longitudinal strain using artificial intelligence.

BACKGROUND: Manual interpretation of echocardiographic data for strain analysis is time-consuming and prone to inter-observer variability. With the ad...

Can GPT-5 Support Licensing Examination Preparation? Analysis of Accuracy, Reasoning, and Semantic Similarity Across Rehabilitation Disciplines.

In this cross-sectional study of 300 board-style questions across physical therapy, occupational therapy, and speech-language pathology, we evaluated ...

A Novel 2.5-Dimensional Deep Learning Model for "Bone-on-Bone" Detection on Magnetic Resonance Imaging in Medial Unicompartmental Knee Arthroplasty Candidates.

BACKGROUND: Accurate identification of "bone-on-bone" (BoB) osteoarthritis is critical for patient selection for medial unicompartmental knee arthropl...

Postangiography Prediction of Renal Replacement Therapy in Acute Myocardial Infarction-Related Cardiogenic Shock: Least Absolute Shrinkage and Selection Operator Nomogram Development and Validation.

BACKGROUND: Acute kidney injury critically impacts outcomes in cardiogenic shock secondary to acute myocardial infarction (CS-AMI). Acute kidney injur...

Optimizing AI implementation for surgery: recommendations for infrastructure and deployment in the operating room.

Recent years have seen a surge in the development of Artificial Intelligence (AI) technologies to enhance intraoperative decision-making and improve p...