Sports Medicine

Machine learning for predicting functional outcomes in acute ischemic stroke: insights from a nationwide stroke registry.

Accurately predicting the prognosis of patients with acute ischemic stroke at discharge remains highly challenging after active treatment. The aim of this retrospective nationwide registry-based study was to identify key predictors associated with favorable outcomes and to develop machine learning models for patient outcome prediction. Analysis of a comprehensive dataset of 40,586 patients reveale...

Prehospital transfusion strategies in haemorrhagic shock.

BACKGROUND: Massive transfusion protocols are established in-hospital practices for managing haemorrhagic shock, yet critical bleeding accounts for up to 40% of trauma deaths, with half occurring before hospital arrival. This has driven interest in prehospital transfusion, a concept originating in military settings where early blood product administration during prolonged evacuations demonstrated ...

Decoding lower-limb movement attempts from electro-encephalographic signals in spinal cord injury patients.

Restoring lower-limb function in patients with severe spinal cord injury (SCI) remains challenging. Spinal cord stimulation may enhance and reinstate ...

Exploring potential biomarkers of NETosis-Related genes in spinal cord injury through machine learning and multi-omics analysis.

Spinal cord injury (SCI) is a serious condition typically caused by mechanical trauma, often resulting in significant motor, sensory, and autonomic dy...

A clinical-radiomics nomogram based on multisequence MRI for predicting intraoperative vertebral artery injury in patients with primary cervical spine tumor: a diagnostic study.

BACKGROUND: Currently, reliable preoperative methods for predicting vertebral artery (VA) invasion are lacking. The authors develop a novel model base...

The Application of Artificial Intelligence to Older Adults With Disabilities: A Scoping Review.

ObjectiveTo review the application of artificial intelligence (AI) in the care of older adults with disabilities, identifying intervention type, targe...

Tunable Plug-and-Play Meta-Nanogenerator Materials for Multi-Range Force Measurements.

Accurate assessments of mechanical forces are crucial for the design, operation and maintenance of long-lasting engineering systems. Conventional forc...

A machine learning model to predict the severity of road traffic injury based on aberrant driving behaviors and driver characteristics.

OBJECTIVES: Road traffic injuries remain a leading cause of mortality and disability worldwide, especially in low- and middle-income countries. This s...

Quantifying Innovation in Stroke: Large Language Model Bibliometric Analysis.

BACKGROUND: Thrombolysis and mechanical thrombectomy represent the most successful stroke innovations over the last 30 years. Quantifying innovation i...

A Streamlined 4-item Wolf Motor Function Test for Efficient Assessment of Upper Extremity Motor Function in Chronic Stroke Survivors.

BackgroundThe Wolf Motor Function Test (WMFT) is a well-recognized measure for assessing upper extremity motor function in stroke rehabilitation. Howe...

Evolution of the gut microbiome in infancy: recent advances.

PURPOSE OF REVIEW: The early-life gut microbiome is a dynamic ecosystem that alongside other niches, such as the oral and skin microbiomes, undergoes ...

Coniferyl aldehyde in ginger-Eucommiae Cortex enhances osteoarthritis treatment by modulating ALDOA and H3K23la histone lactylation.

BACKGROUND AND PURPOSE: Eucommiae Cortex (EC), a traditional Chinese medicinal herb, has been utilized to treat osteoarthritis (OA). The therapeutic e...

Deep Learning-Based Classification of Temporal Stages of AT8-Labeled Tau Pathology After Experimental Traumatic Brain Injury.

Tauopathies are characterised by a progressive accumulation of hyperphosphorylated tau. However, early and intermediate stages remain challenging to q...

Predictive design of stretchable electrodes with strain-insensitive performance via robotics- and machine learning-integrated workflow.

Innovations in wearable electronics and soft robotics hinge significantly on the development of stretchable electrodes. However, a persistent challeng...

A randomized controlled trial of a WeChat-based artificial intelligence agent for postoperative care in orthopedic patients.

Effective postoperative management in orthopedic surgery is often hindered by challenges such as poor patient adherence to rehabilitation protocols, i...

Host-specific fluorescence dynamics in legume-rhizobium symbiosis during nodulation.

UNLABELLED: The legume-rhizobium symbiosis is a cornerstone of sustainable agriculture due to its ability to facilitate biological nitrogen fixation. ...

AI-assisted multimodal assessment for right ventricular function from echocardiography predicts mortality in patients with pulmonary hypertension and right heart failure.

Right ventricular (RV) strain is an important factor in evaluating RV function. This study aimed to predict mortality in patients with pulmonary hyper...

Prospective study assessing the validity of accelerated 2D Fast Spin Echo (2D FSE) based high-resolution knee MRI and T2 mapping using deep learning reconstruction.

BACKGROUND: A routine fast spin-echo (FSE) MRI protocol is widely used to evaluate structural injuries of the knee. While adding a T2 mapping sequence...

The balance between artificial and human intelligence in clinical practice.

INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in hand surgery. Its applications extend across diag...

Multifunctional conductive hydrogel based on carboxymethyl cellulose/oxidized sodium alginate for machine learning-guided sports training.

Multifunctional hydrogels have shown great promise in advanced wearable sensing technologies; however, their performance under real-world sweaty and d...