Latest AI and machine learning research in intensivists for healthcare professionals.
Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infecti...
This study aims to address the limitations in gesture recognition caused by the susceptibility of te...
Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, mak...
Anxiety disorders are one of the most common mental health pathologies in the world. They require se...
Convolutional neural networks (CNNs) are well established in handling local features in visual tasks...
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently compli...
In this comprehensive review, we delve into the transformative role of artificial intelligence (AI) ...
Existing algorithms for assessing tumor purity are limited to a single omics data, such as gene expr...
Artificial intelligence (AI)-based multi-modal fusion algorithms are pivotal in emulating clinical p...
The accuracy of assigning fluorophore identity and abundance, known as spectral unmixing, in biologi...
The selection of biomarker panels in omics data, challenged by numerous molecular features and limit...
BACKGROUND: Artificial intelligence has been proposed for brain metastasis (BM) segmentation but it ...
Sepsis, a multifaceted syndrome driven by an imbalanced host response to infection, remains a signif...
Animals and robots must self-right on the ground after overturning. Biology research has described v...
Multi-omics data play a crucial role in precision medicine, mainly to understand the diverse biologi...
Stratification of patients diagnosed with cancer has become a major goal in personalized oncology. O...
MOTIVATION: Effective molecular representation is critical in drug development. The complex nature o...
Atrial fibrillation (AF) is a life-threatening heart condition, and its early detection and treatmen...
Forecasting the need for Renal Replacement Therapy (RRT) in intensive care units (ICUs) at an early ...
Multi-objective optimization holds particular significance for medical applications, wherein enhanci...
Explainable artificial intelligence (AI) focuses on developing models and algorithms that provide tr...