Latest AI and machine learning research in sports medicine for healthcare professionals.
The normal cellular prion protein (PrPC) can misfold into an infectious and pathogenic form (PrPSc) to produce prion diseases, also known as transmissible spongiform encephalopathies (TSEs), which are rare and deadly neurodegenerative conditions. The conversion of PrPC to PrPSc, which builds up as toxic aggregates in the central nervous system, is caused by sporadic, inherited, or acquired pathway...
Accurate motor imagery (MI) classification in EEG-based brain-computer interfaces (BCIs) is essential for applications in engineering, medicine, and artificial intelligence. Due to the limitations of single-model approaches, hybrid model architectures have emerged as a promising direction. In particular, convolutional neural networks (CNNs) and vision transformers (ViTs) demonstrate strong complem...
Strain engineering is vital for tuning the optical and spin properties of solid-state color centers, enhancing spin coherence and compensating emissio...
Manually analyzing a series of MRI images to obtain information about the heart's motion is a time-consuming and labor-intensive task. Recently, many ...
Crack propagation in solder joints remains a major challenge impacting the thermo-mechanical reliability of electronic devices, underscoring the impor...
Acute kidney injury (AKI) affects more than 20% of hospitalized patients and is a significant contributor to morbidity and mortality, primarily due to...
This study evaluates the reliability of an underactuated wearable lower-limb exoskeleton designed to assist with gait rehabilitation. Recognizing the ...
Incidental pulmonary embolism (PE) is detected in 1% of cardiac CT angiography (CCTA) scans, despite the targeted aortic opacification and limited fie...
OBJECTIVES: This study conducted a comprehensive probabilistic cost-effectiveness analysis comparing robotic exoskeleton therapy to conventional physi...
As video data volumes soar exponentially, the significance of video content analysis, particularly Human Action Recognition (HAR), has become increasi...
Electronic skins (E-skins) that enable interactive and quantitative joint and spine healthcare hold transformative potential for personalized musculos...
OBJECTIVE: This study aimed to analyze recent research and emerging trends in transcranial magnetic stimulation (TMS) for stroke rehabilitation.
The goal of this work was to develop an adaptive rehabilitation technique using a haptic wrist robot that would induce cross-education to an untrained...
This project aims to improve the accuracy of fitness and physical pressure ratings, focusing on basketball, by integrating artificial intelligence (AI...
BACKGROUND: Stroke and its related complications, place significant burdens on human society in the twenty-first century, and lead to substantial dema...
Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are essential clinical cross-sectional imaging techniques for diagnosing complex conditi...
Cerebral infarction (CI) is a leading cause of disability and mortality, with activated plasma monocytes and altered protein glycosylation identified ...
OBJECTIVE: To optimize Abbreviated Injury Scale (AIS) severity using neural networks to improve the predictive performance of the Injury Severity Scor...
The aim of this study is to examine the precision, dependability, and relevance of AI-based evaluations in contrast to conventional human evaluations....
The importance of using Brain-Computer Interface (BCI) systems based on electro encephalography (EEG) signal to decode Motor Imagery(MI) is very impre...