Latest AI and machine learning research in intensivists for healthcare professionals.
The prospect of patient harm caused by the decisions made by an artificial intelligence-based clinic...
Human activity recognition (HAR) has become an increasingly popular application of machine learning ...
BACKGROUND: The timeliness of detection of a sepsis incidence in progress is a crucial factor in the...
Magnetic resonance imaging (MRI) is widely used for screening, diagnosis, image-guided therapy, and ...
OBJECTIVE: Epidural injection of local anaesthetics and intravenous opioid injection are two common ...
BACKGROUND This study aimed to use three modeling methods, logistic regression analysis, random fore...
Achieving glycemic control in critical care patients is of paramount importance, and has been linke...
After admission to emergency department (ED), patients with critical illnesses are transferred to in...
To compare different deep learning architectures for predicting the risk of readmission within 30 da...
Pentobarbital is a sedative agent to limit children motion during computed tomography or magnetic r...
The metabolic derangement is common in heart failure with reduced ejection fraction (HFrEF). The aim...
Electronic Medical Records (EMR) are a rich source of patient information, including measurements re...
BACKGROUND: Antibiotic exposure is often inadequate in critically ill patients with severe sepsis or...
Accurately predicting treatment outcome is crucial for creating personalized treatment plans and fol...
A key feature of living tissues is their capacity to remodel and grow in response to environmental c...
Heart failure (HF) refers to the heart's inability to pump sufficient blood to maintain the body's n...
INTRODUCTION: Sepsis represents a major cause of morbidity and mortality in critically ill patients....
Segmentation of lungs with acute respiratory distress syndrome (ARDS) is a challenging task due to d...
In in-silico prediction for molecular binding of human genomes, promising results have been demonstr...
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in...
UNLABELLED: To develop and evaluate a novel strategy that automates the retrospective identification...