Latest AI and machine learning research in critical care for healthcare professionals.
OBJECTIVES: Current mortality prediction models used in the intensive care unit (ICU) have a limited...
Human activity recognition (HAR) has become an increasingly popular application of machine learning ...
The aim of this paper was the detection of pathologies through respiratory sounds. The ICBHI (Intern...
BACKGROUND: The timeliness of detection of a sepsis incidence in progress is a crucial factor in the...
BACKGROUND: In dialysis patients, non-adherence to oral cinacalcet adds complexity to the control of...
BACKGROUND This study aimed to use three modeling methods, logistic regression analysis, random fore...
BACKGROUND: Ventilator-associated pneumonia (VAP) is a significant cause of mortality in the intensi...
Achieving glycemic control in critical care patients is of paramount importance, and has been linke...
The use of natural language data for animal population surveillance represents a valuable opportunit...
After admission to emergency department (ED), patients with critical illnesses are transferred to in...
PURPOSE: The purpose of this study is to develop a deep learning (DL) method for producing four-dime...
To compare different deep learning architectures for predicting the risk of readmission within 30 da...
There has been a great deal of interest in designing soft robots that can mimic a human system with ...
Obtaining venous access for blood sampling or intravenous (IV) fluid delivery is an essential first ...
Auscultation of the lung is a conventional technique used for diagnosing chronic obstructive pulmona...
Percutaneous coronary intervention (PCI) is typically performed with image guidance using X-ray angi...
CONTEXT: Documentation of care preferences within 48Â hours of admission to an intensive care unit (I...
Radiation dose delivery into the thoracic and abdomen cavities during radiotherapy treatment is a ch...
INTRODUCTION: Human respiratory syncytial virus (hRSV) is a common respiratory virus closely related...
Introduction Chronic subdural hematomas (cSDH) are common in neurosurgery with various symptoms and ...
Electronic Medical Records (EMR) are a rich source of patient information, including measurements re...