Sports Medicine

A deep learning knowledge distillation framework using knee MRI and arthroscopy data for meniscus tear detection.

To construct a deep learning knowledge distillation framework exploring the utilization of MRI alon...

Development of the next-generation functional neuro-cognitive imaging protocol - Part 1: A 3D sliding-window convolutional neural net for automated brain parcellation.

Functional MRI has emerged as a powerful tool to assess the severity of Post-concussion syndrome (PC...

Predicting pedestrian-involved crash severity using inception-v3 deep learning model.

This research leverages a novel deep learning model, Inception-v3, to predict pedestrian crash sever...

Segmenting mechanically heterogeneous domains via unsupervised learning.

From biological organs to soft robotics, highly deformable materials are essential components of nat...

Efficient production and characterization of melanin from SP1, isolated from the coal mines of Chhattisgarh, India.

In the present study, fungi were isolated and screened from barren land in south-eastern Coalfields ...

Using Artificial Intelligence to Predict Intracranial Hypertension in Patients After Traumatic Brain Injury: A Systematic Review.

Intracranial hypertension (IH) is a key driver of secondary brain injury in patients with traumatic ...

A survey on the role of artificial intelligence in managing Long COVID.

In the last years, several techniques of artificial intelligence have been applied to data from COVI...

Machine-learning-based coordination of powered ankle-foot orthosis and functional electrical stimulation for gait control.

This study proposes a novel gait rehabilitation method that uses a hybrid system comprising a powere...

A fully automated stress regional strain score as a prognostic marker of cardiovascular events in patients with normal CMR.

Factors affecting the efficiency of walking independence in patients with subacute stroke following robot-assisted gait training with conventional rehabilitation.

Factors affecting the efficiency of walking independence in patients with subacute stroke following ...

Evaluation of Reliability of the Luna EMG Rehabilitation Robot to Assess Proprioception in the Upper Limbs in 102 Healthy Young Adults.

BACKGROUND Proprioception, the body's ability to perceive its own position and movement, is fundamen...

Adaptive Machine Learning Head Model Across Different Head Impact Types Using Unsupervised Domain Adaptation and Generative Adversarial Networks.

Machine learning head models (MLHMs) are developed to estimate brain deformation from sensor-based k...

Network analysis of multimorbidity and health outcomes among persons with spinal cord injury in Canada.

INTRODUCTION: Multimorbidity, defined as the coexistence of two or more health conditions, is common...

Utilizing Artificial Intelligence-Based Deformable Registration for Global and Layer-Specific Cardiac MRI Strain Analysis in Healthy Children and Young Adults.

RATIONALE AND OBJECTIVES: The absence of published reference values for multilayer-specific strain m...

Navigating the AI frontiers in cardiovascular research: a bibliometric exploration and topic modeling.

Artificial intelligence (AI) has emerged as a promising field in cardiovascular disease (CVD) resear...

Serum CIRP increases the risk of acute kidney injury after cardiac surgery.

INTRODUCTION: Acute kidney injury (AKI) is a frequent perioperative complication. The underlying mec...

Prediction of stroke patients' bedroom-stay duration: machine-learning approach using wearable sensor data.

The importance of being physically active and avoiding staying in bed has been recognized in stroke...

Dyad motor learning in a wrist-robotic environment: Learning together is better than learning alone.

OBJECTIVE: Dyad motor practice is characterized by two learners alternating between physical and obs...

The correlation between serum creatinine and burn severity and its predictive value.

This study aimed to explore the correlation between serum creatinine and burn severity and the value...

Influences of microRNA-451 on the expression of HMGB1 in myocardial cells and its mechanism in ischemia-reperfusion injury.

This work aimed to understand the underlying mechanism of micro-ribonucleic acid (MicroRNA) (miR)-45...

Analysis of the improvement effect of Astragalus extract on oxidative stress injury in viral myocarditis through STAT3/IL-6.

The objective of this study was to investigate the improvement effect of Astragalus (AS) extract on ...