Latest AI and machine learning research in intensivists for healthcare professionals.
It is important for equipment to operate safely and reliably so that the working state of mechanical...
PURPOSE: Due to the increasing demand for intensive care unit (ICU) treatment, and to improve qualit...
BACKGROUND: Sepsis is a severe illness that affects millions of people worldwide, and its early dete...
Fluid stewardship targets optimal fluid management to improve patient outcomes. Intravenous (IV) me...
We investigate the feasibility of molecular-level sample classification of sepsis using microarray g...
Advances in artificial intelligence-based methods have led to the development and publication of num...
Weaning from mechanical ventilation covers the process of liberating the patient from mechanical sup...
INTRODUCTION: Early diagnosis and antibiotic administration are essential for reducing sepsis morbid...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical i...
BACKGROUND: Diagnosing sepsis remains challenging. Data compiled from continuous monitoring and elec...
IMPORTANCE: Sepsis disproportionately affects recipients of allogeneic hematopoietic cell transplant...
Machine learning (ML) has the potential to bring significant clinical benefits. However, there are p...
Multi-agent deep reinforcement learning (MDRL) has been widely applied in multi-intersection traffic...
Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are co...
Monitoring the pain intensity in critically ill patients is crucial because intense pain can cause a...
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health co...
Predictors of the need for intensive care and mechanical ventilation can help healthcare systems in ...
BACKGROUND: Acute kidney injury is common in the surgical intensive care unit (ICU). It is associate...
A complicated clinical course for critically ill patients admitted to the intensive care unit (ICU) ...
Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compa...
This study aimed to develop a machine learning algorithm to identify key clinical measures to triag...