Latest AI and machine learning research in intensivists for healthcare professionals.
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 ...
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...
This study aimed to develop a mapping table that connects nursing notes with standard terminology, f...
Traffic allocation is a process of redistributing natural traffic to products by adjusting their p...
In the intensive care unit, the capability to predict the need for mechanical ventilation (MV) fac...
In recent years, healthcare professionals are increasingly emphasizing on personalized and evidenc...
This integrated study combines bioinformatics, machine learning, and Mendelian randomization (MR) to...
Understanding the neural mechanisms underlying the transitions between different states of conscio...
We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosi...
Patients in the ICU frequently suffer from delirium, which can delay their recovery and may cause si...
Shoulder dislocations are the most common dislocations and there is a demand for a novel traction de...