Latest AI and machine learning research in critical care for healthcare professionals.
The collapse accidents under cut and cover method in metro station construction occurred frequently,...
BACKGROUND: Acute kidney injury (AKI) exhibits considerable heterogeneity. The objective of the curr...
Pesticides and other synthetic agrochemicals play a critical role in emerging agricultural practices...
OBJECTIVES: This study aimed to develop and validate an explainable machine learning (ML) model to p...
Remote noncontact respiratory rate estimation by facial visual information has great research signif...
Dynamic treatment regimes (DTRs), which comprise a series of decisions taken to select adequate trea...
OBJECTIVE: To assess patient characteristics and care factors that are associated with correct and i...
BACKGROUND: Persistent sepsis-associated acute kidney injury (SA-AKI) shows poor clinical outcomes a...
Predicting molecular toxicity is an important stage in the process of drug discovery. It is directly...
BACKGROUND: The increasing use of extracorporeal membrane oxygenation (ECMO) has highlighted challen...
Recent advancements in the performative capacities of artificial intelligence (AI), machine learning...
BACKGROUND: Cardiac valve calcification (CVC) is common in dialysis patients and associated with inc...
Small Ubiquitin-like MOdifier-mediated modification (SUMOylation) is associated with sepsis; however...
BACKGROUND: The incidence and mortality of cardiac arrest (CA) is high. We developed interpretable m...
Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated wit...
OBJECTIVE: The aim of this study was to construct interpretable machine learning models to predict t...
BACKGROUND AND OBJECTIVE: Sepsis-induced pathophysiological changes may lead to pharmacokinetic vari...
Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome characterized by var...
INTRODUCTION: Sepsis is a life-threatening condition characterized by widespread inflammatory respon...
OBJECTIVE: To compare the performance of predictive models for cardiovascular event (CVE) in patient...
BACKGROUND: We aimed to identify risk factors for initial seizure episodes in ICU patients using var...