Sports Medicine

The role of mechanical power in lung ventilation for the prevention of ventilator-induced lung injury: a narrative review.

Ventilator-induced lung injury continues to limit outcomes in patients with acute respiratory failure despite established lung-protective strategies.Mechanical power, the rate of energy transfer from the ventilator to the respiratory system, has emerged as an integrative index of ventilator-induced stress. Experimental studies indicate that cumulative and dissipated energy, rather than isolated pr...

Artificial Intelligence-Based Analysis of Right Ventricular Work Is Associated with Outcomes after Transcatheter Tricuspid Valve Intervention.

AIMS: In tricuspid regurgitation (TR), conventional parameters of right ventricular (RV) function have limited prognostic utility. Our aim was to evaluate the prognostic value of RV pressure-strain-volume (PSV) analysis-derived work parameters in patients undergoing transcatheter tricuspid valve intervention (TTVI). METHODS: This multicenter retrospective observational study included 166 patients,...

Effects of a Soft Robotic Exoskeleton for Gait Training on Clinical Outcomes in Patients With Parkinson Disease: Randomized Controlled Pilot Study.

BACKGROUND: Balance and gait disorders in Parkinson disease (PD) impair motor function and quality of life. OBJECTIVE: Evidence on soft exoskeleton ro...

Role of artificial intelligence augmented interventions in Rehabilitation: A scoping review.

BACKGROUND: World demographic patterns reveal that the percentage of older adults has been increasing at a rapid rate with a significant number of the...

AI-Powered Image-Based Assessment of Pressure Injuries Using You Only Look Once Version 8 (YOLOv8) Models.

OBJECTIVE: The primary objective of this study is to enhance the detection and staging of pressure injuries using machine learning capabilities for pr...

Identification of PANoptosis-Related Biomarkers in Spinal Cord Injury (SCI) through Multi-Omics Analysis and Machine Learning.

BACKGROUND: Spinal cord injury (SCI) is a severe neurological disorder lacking early diagnostic biomarkers and precise therapeutic targets. PANoptosis...

ChatGPT in intervention planning: Advancing clinical relevance and targeted care in cognitive rehabilitation.

OBJECTIVE: We aim to introduce ChatGPT as a supportive tool in cognitive rehabilitation, examine the feasibility of its integration into clinical prac...

Increased Pre-Activation and Co-Contraction in ACL-Reconstructed Athletes: Insights from AI-based EMG Analysis.

INTRODUCTION: Anterior Cruciate Ligament (ACL) tears disrupt the neural structures within the ligament, impairing the neuromuscular control of knee-st...

Deep learning discriminates seizures from normal brain oscillations in the electroencephalogram of a rat model of post-traumatic epilepsy.

This study used machine learning to objectively identify seizures in the electroencephalogram of a model of post-traumatic epilepsy based on fluid per...

The Efficacy of Proprioceptive Neuromuscular Facilitation-Based Robot-Assisted Therapy in Individuals With Stroke: A Randomized Controlled Trial.

OBJECTIVES: The effects of combining robot-assisted therapy (RAT) with other physiotherapy approaches in stroke rehabilitation are of current interest...

Feasibility of a hybrid SSVEP-motor imagery BCI with robotic feedback for upper limb motor rehabilitation in stroke patients.

BACKGROUND: Stroke remains a leading cause of long-term disability, necessitating innovative neurorehabilitation strategies to address persistent moto...

DARE: A Deformable Adaptive Regularization Estimator for learning-based medical image registration.

Deformable medical image registration is a fundamental task in medical image analysis. While deep learning-based methods have demonstrated superior ac...

Mapping knowledge structure and emerging trends in non-invasive brain-computer interface for stroke rehabilitation.

OBJECTIVE: To explore the current research landscape and emerging frontiers in the application of non‑invasive brain-computer interface (BCI) technolo...

Automated Objective Scoring of Osteoarthritis Severity in Mouse Medial Tibial Cartilage Using Deep Learning.

ObjectiveThis study developed and optimized a deep learning model to automate OARSI-based histologic scoring of mouse medial tibial cartilage.DesignSa...

Evaluation of the quality, reliability, and readability of ChatGPT-4 responses related to the treatment and rehabilitation of children with cerebral palsy.

UNLABELLED: This study aims to evaluate the reliability, quality, and readability of ChatGPT-4's responses to questions about cerebral palsy (CP) and ...

Multimodal neural operators for real-time biomechanical modelling of traumatic brain injury.

BACKGROUND: Traumatic brain injury (TBI) remains a major public health concern, with over 69 million cases annually worldwide. Accurate patient-specif...

Whole-genome sequencing and machine learning reveal candidate genomic features associated with Listeria monocytogenes persistence in two ice cream facilities.

Listeria monocytogenes is a major foodborne pathogen responsible for listeriosis. Ice cream has emerged as an important vehicle for L. monocytogenes t...

Explainable Ensemble Machine Learning for Predicting Injury Severity in Agricultural Accidents.

OBJECTIVES: Agricultural injuries remain a leading occupational hazard, causing substantial human and economic losses worldwide. This study aimed to p...

Dynamic Balance Control and Postural Adaptation in Human-Robot Collaborative Manipulation: Within-Subject Experimental Study.

BACKGROUND: The integration of robots into industrial settings has rapidly advanced, aiming to reduce human involvement in demanding tasks while impro...

Ion-electron synergy-enhanced flexible highly sensitive wireless sensing system with wide strain range.

Flexible strain sensors require a wide strain range and high sensitivity for applications from human joint monitoring to robotic motion detection. Con...