Latest AI and machine learning research in intensivists for healthcare professionals.
The diagnosis of preoperative lymph node (LN) metastasis is crucial to evaluate possible therapy opt...
This paper presents a novel approach for Multi-Robot Task Allocation (MRTA) that introduces priority...
The locomotion performance of the current legged miniature robots remains inferior compared to even ...
With the development of blockchain technologies, many Ponzi schemes disguise themselves under the ve...
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU ...
Open pancreatoduodenectomy (OPD) is associated with high perioperative morbidity. Adoption of robot-...
Evaporation is a crucial component to be established in agriculture management and water engineering...
Multiprincipal element alloys (MPEAs) have gained surging interest due to their exceptional properti...
Multi-modal medical image fusion is a challenging yet important task for precision diagnosis and sur...
Electroencephalography (EEG) is commonly used to measure the depth of anesthesia (DOA) because EEG r...
Deep neural networks have achieved significant development and wide applications for their amazing p...
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...
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) ...
Non-invasive multi-disease detection is an active technology that detects human diseases automatical...
The advantages of a multi-input display system platform in robotic thoracic surgery have not been we...
Fully exploring the correlation of local features and their spatial distribution in point clouds is ...