Latest AI and machine learning research in intensivists for healthcare professionals.
OBJECTIVE: Information extraction (IE) from clinical texts has advanced rapidly with recent advances...
Three decades after To Err Is Human catalyzed the modern patient safety movement, roughly one in fou...
BACKGROUND: Mechanical ventilation requires repeated adjustment to changing patient physiology, but ...
BACKGROUND: Point-of-care ultrasound (POCUS) has emerged as a valuable bedside tool for assessment o...
OBJECTIVE: Electronic health record (EHR) time series are irregularly sampled and frequently incompl...
BACKGROUND AND AIMS: Chronic hepatitis B virus (HBV) infection remains a major cause of hepatocellul...
BACKGROUND: During propofol-sedated gastrointestinal endoscopy, adequate sedation must be achieved w...
BACKGROUND: Listening to audible sound for medical diagnosis and monitoring spans health care profes...
Tracheal intubation in the intensive care unit is a high-risk procedure, with hypoxemia, cardiovascu...
BACKGROUND/OBJECTIVES: Assessing consciousness at the bedside in the neurocritical care unit is comp...
In this work, a neuro-evolution machine learning potential integrated with the Ziegler-Biersack-Litt...
Pediatric sepsis remains a significant global health burden with considerable mortality and morbidit...
Effective project risk management helps to reduce negative outcomes, especially in construction proj...
With the increasing demand for biomedical monitoring transitioning from in vitro intermittent assays...
INTRODUCTION: Heart failure (HF) is one of the most urgent unmet challenges in cardiovascular medici...
OBJECTIVE: To describe the implementation process for the Precision Resuscitation with Crystalloids ...
Transcriptomics and metabolomics occupy mechanistically complementary positions in the molecular hie...
BACKGROUND: Sepsis involves dysregulated host responses with mitochondrial dysfunction as a key mech...
BACKGROUND: Body mass index does not distinguish visceral from subcutaneous adiposity, which may hav...
CONTEXT: The surprise question (SQ) is an intuition-based tool for identifying patients who may bene...
Artificial intelligence (AI) and machine learning (ML) are increasingly applied across the transplan...