Sports Medicine

Predictive Modeling of the Need for Tracheostomy after Traumatic Cervical Spinal Cord Injury Using Machine Learning.

PURPOSE: Traumatic cervical spinal cord injury (TCSCI) frequently necessitates mechanical ventilation, and early tracheostomy has been shown to reduce complications in patients requiring prolonged ventilation. This study aimed to develop a machine learning model to predict the need for tracheostomy in TCSCI patients, utilizing early clinical data to improve patient outcomes. MATERIALS AND METHODS:...

Machine Learning-Based Risk Stratification Model to Guide Cardiopulmonary Exercise Training in Cardiovascular Patients.

PURPOSE: In cardiovascular patients, precise risk stratification is crucial for minimizing exercise-related risks and optimizing treatment efficacy during cardiac rehabilitation. Existing classification criteria vary among organizations, necessitating a comprehensive assessment of the underlying conditions and medical tests. We developed machine-learning models to assist in standardizing risk clas...

Exploratory Analysis of Factors Associated With Pressure Injuries in Surgical Patients Assessed With the ELPO Scale.

OBJECTIVE: The objective of this study is to analyse predictors associated with pressure injury occurrence and to explore the relationship between pre...

Indoor Navigation for People With Visual Impairment in Canada: Participatory Co-Design and Interdisciplinary Study of the Edge A-Eye Platform.

BACKGROUND: Indoor navigation remains a major challenge for people with visual impairments, affecting autonomy, safety, and quality of life. While nav...

Mental simulation practices in stroke rehabilitation reorganize brain connectivity: a systematic review.

BACKGROUND AND PURPOSE: Stroke is a leading cause of disability, associated with impaired motor function and brain connectivity. Mental Simulation Pra...

Engineering autoimmune disease models using organoids: Harnessing microenvironmental engineering for precision medicine and immunological recapitulation.

Autoimmune diseases-including systemic sclerosis (SSc), systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA)-are increasingly understood ...

External validation of machine learning models predicting global longitudinal strain from conventional echocardiography in patients with cancer.

Global longitudinal strain (GLS) is a well-established prognostic marker for the early detection of cancer therapy-related cardiac dysfunction (CTRCD)...

Enterococcus faecium MMX derived from traditional fermented mare's milk alleviates colitis by modulating the LCN2-NLRP3 pyroptosis axis.

Ulcerative colitis (UC) is a relapsing inflammatory disorder of the intestine for which safe and effective therapeutic strategies are urgently needed....

Predicting ACL injury risk in athletes: A systematic review of machine learning-based models.

BACKGROUND: Early ACL injury risk identification in athletes is essential. This systematic review examines machine learning (ML) models for predicting...

Itaconic acid biomanufacturing: metabolic engineering and green process development.

Itaconic acid (IA), an important unsaturated dicarboxylic acid, finds wide applications in industry, medicine, food, and energy. Biotechnological prod...

A multi-paradigm and longitudinal EEG dataset including the "sixth-finger" and "affected-hand" motor imagery of stroke patients.

Motor imagery-based brain-computer interface (MI-BCI) applications in stroke rehabilitation aim to match brain activity with real-time feedback, there...

Bifurcation and chaos design of radial basis neural network for predictive modeling of fractional double-strain HIV co-infection model with intercellular delays and stochastic effects.

The aim of the present study is to obtain the numerical solutions of the fractional double-strain HIV co-infection model with intercellular delays and...

Prediction of postoperative acute kidney injury in patients undergoing off-pump coronary artery bypass grafting: A machine learning model.

BACKGROUND: The incidence of cardiac surgery-associated acute kidney injury (CSA-AKI) is 26.0%-28.5%. Among cardiac procedures, off-pump coronary arte...

Beyond Radiation Exposure: Occupational Health Challenges Across the Modern Radiology Workforce.

Radiology occupational safety has historically centred on radiation protection. Although radiation safety remains essential, the digital transformatio...

Comparison of accelerated MRI protocol approaches for clinical assessment of the knee.

OBJECTIVE: To evaluate the diagnostic performance and image quality of four accelerated knee MRI protocols (~ 6 minutes) compared with a conventional ...

Intracranial pressure physiology, monitoring and individualized management in the acute brain injured patient.

Acute brain injury (ABI), including traumatic brain injury, ischemic and hemorrhagic stroke, is associated with high morbidity and mortality, which is...

RenalTox-XAI: Applicability-Domain-Constrained and Descriptor-Guided QSAR Framework for Early Screening and Safety Prioritization of Drug-Induced Renal Injury.

Drug-induced renal injury (DIRI) remains a major cause of drug attrition and post-marketing safety concerns, highlighting the need for reliable early-...

Robot-assisted gait training using a robotic exoskeleton during inpatient rehabilitation in acute Guillain-Barré Syndrome.

A woman in her early 60s with acute Guillain-Barré syndrome (GBS) developed rapidly progressive tetraparesis and respiratory failure requiring non-inv...

Thermal Heterogeneity After Deep Hypothermic Circulatory Arrest: A New Framework for Understanding Rewarming and Physiological Recovery.

Deep hypothermic circulatory arrest (DHCA) is widely used during complex aortic arch surgery to reduce metabolic demand and protect vital organs. Conv...

[Strategies for complications prevention and management of complex total hip arthroplasty].

Although the complications of complex total hip arthroplasty (THA) are decreasing with the progress of surgical technology, it is still a difficult cl...