Latest AI and machine learning research in sports medicine for healthcare professionals.
Understanding the psychophysiological state during robot-aided rehabilitation is crucial for assessi...
PURPOSE: To show the value of custom methods, namely Retrieval Augmented Generation (RAG)-based Larg...
The black box nature of deep neural networks (DNNs) makes researchers and clinicians hesitant to rel...
Left ventricular (LV) global longitudinal strain (LVGLS) is versatile; however, it is difficult to o...
Phosphate-solubilizing fungus (PSF) strain alaromyces funiculosus was investigated for phosphorus so...
Real-time monitoring of gait characteristics is crucial for applications in health monitoring, patie...
OBJECTIVE: The injury severity classification based on the Abbreviated Injury Scale (AIS) provides i...
In this study, we aimed to identify an essential blood molecular signature for chacterizing the prog...
Traditional rehabilitation training for stroke patients with ankle joint issues typically relies on ...
Acute kidney injury (AKI) is a significant health challenge associated with adverse patient outcomes...
Clinical studies have proved significant improvements in hand motor function in stroke patients when...
Quantifying individualized rehabilitation responses and optimizing therapy for each person is challe...
Spinal cord injury (SCI) often leads to central neuropathic pain, a condition associated with signif...
Sleep is a crucial aspect of geriatric assessment for hospitalized older adults, and implementing AI...
We developed a multimodal ultrasound (US) deep learning (DL) fusion model to automatically classify ...
The present study was designed to test the potential utility of regional cerebral oxygen saturation ...
INTRODUCTION: Most patients suffering from neurological disorders endure varying degrees of upper li...
OBJECTIVE: To examine robotic interventions for upper limb rehabilitation poststroke, focusing on ge...
BACKGROUND: Traumatic brain injury (TBI) can come with long term consequences for functional outcome...
BACKGROUND: Global longitudinal strain (GLS) is recognized as a powerful predictor of heart failure ...
This review investigated the effectiveness of robotic-assisted gait training (RAGT) in improving gai...