Latest AI and machine learning research in intensivists for healthcare professionals.
This work introduces the Advanced Multi-Objective Salp Swarm Algorithm Exploration Technique (AMET),...
Lung adenocarcinoma (LUAD) is a major cause of cancer-related mortality globally. Proliferating cell...
This study aims to establish and validate prediction models based on novel machine learning (ML) alg...
The intelligent design of copper flotation processes is an important means for improving resource ut...
Under REACH, mutagenicity assessment relies on testing (gene mutation test in bacteria and/or mamma...
With sepsis remaining a leading cause of mortality, early identification of patients with sepsis and...
BACKGROUND: Unplanned postoperative intensive care unit admissions (UIAs) are rare events that cause...
Understanding the biochemical pathways and interorgan cross talk underlying type 2 diabetes (T2D) is...
BACKGROUND: Ischemic heart failure (IHF) is a multifaceted syndrome associated with significant mort...
Metabolic molecules are highly correlated with various physiological indicators and diseases, so it ...
Accurate diagnosis and severity estimation of gastrointestinal tract (GT) lesions are crucial for pa...
Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic cha...
Tomato growing points and flower buds serve as vital physiological indicators influencing yield qual...
Accurate segmentation of the liver parenchyma, portal veins, hepatic veins, and lesions from MRI is ...
Accurate prediction of drug-target interactions (DTIs) is crucial for accelerating drug discovery an...
Parkinson's Disease (PD) is often characterized by abnormal gait patterns, which can be objectively ...
Unmanned aerial vehicle (UAV) tracking is a critical task in surveillance, security, and autonomous ...
Grayscale digital light processing (g-DLP) is gaining recognition for its capability to create mater...
Fiber-shaped resistive pressure-sensitive sensors are rare. Although fibers are widely used in strai...
Malaria remains a critical global health challenge, particularly in tropical and subtropical regions...
Multi-source stationary computed tomography (MSS-CT) offers significant advantages in medical and in...