Latest AI and machine learning research in intensivists for healthcare professionals.
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU ...
Open pancreatoduodenectomy (OPD) is associated with high perioperative morbidity. Adoption of robot-...
Electroencephalography (EEG) is commonly used to measure the depth of anesthesia (DOA) because EEG r...
Multi-modal medical image fusion is a challenging yet important task for precision diagnosis and sur...
BACKGROUND AND OBJECTIVES: Sepsis is a severe infection that increases mortality risk and is one if ...
Non-invasive multi-disease detection is an active technology that detects human diseases automatical...
BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, ris...
Accurate segmentation of the right ventricle from cardiac magnetic resonance images (MRI) is a criti...
BACKGROUND: COVID-19 diagnosis in symptomatic patients is an important factor for arranging the nece...
BACKGROUND: Mechanical ventilation in cirrhosis with acute respiratory distress syndrome (ARDS) is n...
Robot assisted minimally invasive esophagectomy (RAMIE) has evolved over the past decade to become p...
Most indoor environments have wheelchair adaptations or ramps, providing an opportunity for mobile r...
The prediction of outcomes is a critical part of the clinical surveillance for hospitalized patients...
Procalcitonin (PCT) ( a precursor of calcitonin) attracts much attention as a reliable biomarker of ...
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...
Exploring the origin of multi-target activity of small molecules and designing new multi-target comp...
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...