Latest AI and machine learning research in intensivists for healthcare professionals.
The immune defense function protecting the body from invasive pathogens is a key indicator of an ind...
Wastewater treatment plants (WWTPs) are critical components of urban infrastructure, and enhancing t...
BACKGROUND AND OBJECTIVES: The neurological examination is pivotal in assessing patients with neurol...
OBJECTIVE: Sepsis remains a major clinical challenge because of its complex, heterogeneous, and mult...
OBJECTIVE: To develop an interpretable stacking ensemble model for predicting in-hospital mortality ...
UNLABELLED: Traditional clinical trial designs such as the isolated two-arm randomized controlled tr...
BACKGROUND: Trauma is a major global health burden leading to significant morbidity, disability, and...
BACKGROUND AND OBJECTIVES: Although artificial-intelligence-enhanced electrocardiograms (AI-ECGs) of...
BACKGROUND: Alzheimer's disease (AD) is increasingly recognized as a multifactorial network disorder...
BACKGROUND: The multicentre STOP-or-NOT trial has shown that continuation of renin-angiotensin-aldos...
BACKGROUND: The platelet to white blood cell ratio (PWR) has shown prognostic value in many diseases...
Meeting the projected 70% rise in agricultural output by 2050 to sustain a global population of 9.6 ...
BACKGROUND: Delirium remains one of the most consequential complications among critically ill patien...
Electronic medical records (EMR) have transformed how clinical information is documented, shared, an...
OBJECTIVE: This study aims to develop and validate interpretable machine learning (ML) models to dyn...
BACKGROUND: Takotsubo syndrome (TTS) and sepsis often co-occur with poor outcomes, yet their underly...
Sepsis remains a leading cause of morbidity and mortality, yet routine diagnostics are slow, culture...
OBJECTIVE: This study aimed to create and validate a machine learning (ML) model to predict the like...
BACKGROUND: Circulatory disturbances in sepsis are heterogeneous but may manifest as a mismatch betw...
BackgroundWhile machine learning (ML) models are increasingly used to predict outcomes in health car...
Self-diagnosis-the capacity of a system to detect and correct its own failures-is a defining propert...