Latest AI and machine learning research in critical care for healthcare professionals.
Catecholamine neurotransmitters, specifically, dopamine (DA), epinephrine (EP), and norepinephrine (...
Levetiracetam is an antiepileptic medication commonly used in critical care areas for seizure treat...
Although the current widespread use of amikacin is in intra-abdominal sepsis treatment, its pharmac...
Second-line depression treatment involves augmentation with one (rarely two) additional drugs, of ch...
Heart failure (HF) refers to the heart's inability to pump sufficient blood to maintain the body's n...
UNLABELLED: Non-contact vital sign monitoring enables the estimation of vital signs, such as heart r...
INTRODUCTION: Sepsis represents a major cause of morbidity and mortality in critically ill patients....
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...
In the twenty-first century, high contagious infectious diseases such as SARS (Severe Acute Respirat...
Our aim was to create simple and largely scalable machine learning-based algorithms that could predi...
BACKGROUND: Guidelines indicate that a low-protein diet (LPD) delays dialysis in severe chronic kidn...
Segmentation of lungs with acute respiratory distress syndrome (ARDS) is a challenging task due to d...
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in...
Silibinin is a naturally occurring compound with known positive impacts on prevention and treatment...
UNLABELLED: To develop and evaluate a novel strategy that automates the retrospective identification...
BACKGROUND: Electronic medical record (EMR) systems need functionality that decreases cognitive over...
A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to ...
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic obstructive ...
BACKGROUND: This case report intends to highlight the challenge in diagnosing type 1 diabetes on an ...
PURPOSE: To study whether ICU staffing features are associated with improved hospital mortality, ICU...
Many studies have been published on a variety of clinical applications of artificial intelligence (A...