Latest AI and machine learning research in intensivists for healthcare professionals.
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by combining complem...
Resting-state fMRI captures spontaneous neural activity characterized by complex spatiotemporal dy...
Owing to the robust priors of diffusion models, recent approaches have shown promise in addressing...
Condition monitoring of induction machines is crucial to prevent costly interruptions and equipmen...
Large Language Models (LLM) are usually fine-tuned to participate in dyadic or two-party dialogues...
On-demand vibration mitigation in a mechanical system needs the suitable design of multiscale meta...
Advancements in text-to-image diffusion models have led to significant progress in fast 3D content...
Object perception from multi-view cameras is crucial for intelligent systems, particularly in indo...
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) ...
Accurately predicting blood glucose (BG) levels of ICU patients is critical, as both hypoglycemia ...
In human-centric tasks such as healthcare and education, the heterogeneity among patients and stud...
Automatic subphenotyping from electronic health records (EHRs)provides numerous opportunities to u...
Animals and robots must self-right on the ground after overturning. Biology research has described v...
Sepsis, a multifaceted syndrome driven by an imbalanced host response to infection, remains a signif...
Visual sound localization is a typical and challenging problem that predicts the location of objec...
This study explores the potential of federated learning (FL) to develop a predictive model of hypoxe...
Forecasting the need for Renal Replacement Therapy (RRT) in intensive care units (ICUs) at an early ...
This study aims to develop and validate a machine learning (ML) predictive model for assessing morta...
Sepsis is the leading cause of in-hospital mortality in the USA. Early sepsis onset prediction and...
This study aimed to develop ICU mortality prediction models using a conceptual framework, focusing o...