Latest AI and machine learning research in critical care for healthcare professionals.
Steady-state visual evoked potential (SSVEP) is a key technique of electroencephalography (EEG)-base...
Bioactive peptides can hinder oxidative processes and microbial spoilage in foodstuffs and play impo...
The rational modification of siRNA molecules is crucial for ensuring their drug-like properties. Mac...
BACKGROUND: Intraoperative physiologic parameters could offer predictive utility in evaluating risk ...
The 5th generation (5 G) network is required to meet the growing demand for fast data speeds and the...
BACKGROUND AND OBJECTIVE: Heart failure (HF) is a multi-faceted and life-threatening syndrome that a...
Methanol poisoning is a global public health concern, especially prevalent in developing nations. Th...
Drinking water is vital for human health and life, but detecting multiple contaminants in it is chal...
Recently, the Deep Neural Networks (DNNs) have had a large impact on imaging process including medic...
Deep learning based multi-atlas segmentation (DL-MA) has achieved the state-of-the-art performance i...
OBJECTIVE: To study how Pneumoperitoneum under Trendelenburg position for robot-assisted laparoscopi...
This paper introduces a novel approach to enhance content-based image retrieval, validated on two be...
Heterogeneous graph neural networks play a crucial role in discovering discriminative node embedding...
Air pollution poses a significant challenge in numerous urban regions, negatively affecting human we...
. During deep-learning-aided (DL-aided) ultrasound (US) diagnosis, US image classification is a foun...
OBJECTIVE: The evaluate the feasibility of a novel deep learning-reconstructed ultra-fast respirator...
RNA modification plays a crucial role in cellular regulation. However, traditional high-throughput s...
Incidence of hospital-acquired pressure injury, a key indicator of nursing quality, is directly prop...
, a gram-negative coccobacillus bacterium, can cause various infections in humans, including septic ...
Low-dose computer tomography (LDCT) has been widely used in medical diagnosis. Various denoising met...