Latest AI and machine learning research in sports medicine for healthcare professionals.
Current methods for radiological classification in traumatic brain injury (TBI), such as the Marshal...
INTRODUCTION: Soft robotic gloves (SRGs) integrated with brain-computer interfaces (BCIs) have demon...
Accurate prediction of athlete performance is a challenges issue of significance in sports science a...
Mask-integrated respiratory sensors are promising for noninvasive monitoring of respiratory health o...
Wearable electronics that use intrinsically stretchable organic neuromorphic devices offer a promisi...
BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder characterised by high pr...
This study aimed to evaluate the impact of multimodal education management using illustrated pathway...
BACKGROUND: Persistent post-stroke ankle impairment hinders functional recovery. Brain-computer inte...
BACKGROUND: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in cl...
BACKGROUND AND OBJECTIVES: CONFIDENCE is a culturally tailored intervention to reduce caregiver fina...
Hydrogel sensors have gained significant attention in recent years due to their ability to detect va...
Advancements in computer vision and deep learning have revolutionized sports video analysis, enablin...
As the world's population ages, ensuring the safety of older adult pedestrians has become an urgent ...
By integrating the principles of kirigami cutting and data-driven modeling, this study aims to devel...
OBJECTIVES: To examine the emotional, cognitive and dispositional experience of children and adolesc...
AIMS: We applied unsupervised machine learning clustering to a large cohort of hypertensive patients...
OBJECTIVE: This study aimed to develop and validate stratified machine learning models for early pre...
The advancement of personalized medicine is increasingly reliant on wearable health monitoring techn...
BACKGROUND: Low back pain (LBP) is a leading cause of global disability. Most cases are non-specific...
Cardiogenic shock (CS) remains a leading cause of death in intensive cardiac care. Outcomes are limi...
High-fidelity surface electromyography (sEMG) acquisition under dynamic conditions is critical for r...