Latest AI and machine learning research in critical care for healthcare professionals.
Federated learning (FL) is a method used for training artificial intelligence models with data from ...
Multiprincipal element alloys (MPEAs) have gained surging interest due to their exceptional properti...
Coughing is a common symptom for many respiratory disorders, and can spread droplets of various size...
OBJECTIVES: For optimal utilization of healthcare resources, there is a critical need for early iden...
Multi-modal medical image fusion is a challenging yet important task for precision diagnosis and sur...
Tissue phase mapping (TPM) is an MRI technique for quantification of regional biventricular myocardi...
Deep neural networks have achieved significant development and wide applications for their amazing p...
Wireless sensing is the state-of-the-art technique for next generation health activity monitoring. S...
Cosegmentation is a newly emerging computer vision technique used to segment an object from the back...
Prehypertension is a new risky disease defined in the seventh report issued by the Joint National Co...
INTRODUCTION: Telemonitoring is a promising self-management strategy to improve health care outcomes...
The accurate prediction of the relative solvent accessibility of a protein is critical to understand...
BACKGROUND AND OBJECTIVES: Sepsis is a severe infection that increases mortality risk and is one if ...
Structural magnetic resonance imaging (sMRI) is widely used for the brain neurological disease diagn...
With the recent advances in deep learning, wearable sensors have increasingly been used in automated...
In this paper, an event-triggered control (ETC) method is investigated to solve zero-sum game (ZSG) ...
Auscultation has been essential part of the physical examination; this is non-invasive, real-time, a...
Non-invasive multi-disease detection is an active technology that detects human diseases automatical...
Semantic segmentation is one of the essential prerequisites for computer vision tasks, but edge-prec...
The advantages of a multi-input display system platform in robotic thoracic surgery have not been we...
BACKGROUND: Respiratory virus infections are significant causes of morbidity and mortality, and may ...