Latest AI and machine learning research in critical care for healthcare professionals.
PURPOSE: The application of point of care ultrasound (PoCUS) in medical education is a relatively ne...
COVID-19 is an infectious and contagious disease caused by the new coronavirus. The total number of ...
OBJECTIVES: While chest radiograph (CXR) is the first-line imaging investigation in patients with re...
The detection of sleep apnea is critical for assessing sleep quality. It is also a proven biometric ...
BACKGROUND: A disease severity classification system is widely used to predict the survival of patie...
Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary imaging is a...
Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and outbreak d...
BACKGROUND: Intensive care unit (ICU) acquired weakness is associated with reduced physical function...
In recent years, extensive resources are dedicated to the development of machine learning (ML) based...
The main objective of this work is to develop and evaluate an artificial intelligence system based o...
BACKGROUND: The aim of the study was to predict the probability of intensive care unit (ICU) care fo...
A clinically comparable Convolutional Neural Network framework-based technique for performing automa...
In industry, sensor-based monitoring of equipment or environment has become a necessity. Instead of ...
BACKGROUND: Intensive Care Unit (ICU) patients are exposed to various medications, especially during...
To observe the clinical efficacy of early enteral nutrition application in critically ill neurosurgi...
The continuous monitoring of an individual's breathing can be an instrument for the assessment and e...
Delaying intubation for patients failing Bi-Level Positive Airway Pressure (BIPAP) may be associated...
BACKGROUND AND OBJECTIVE: During lung cancer radiotherapy, the position of infrared reflective objec...
The lungs are COVID-19's most important focus, as it induces inflammatory changes in the lungs that ...
The inherent flexibility of machine learning-based clinical predictive models to learn from episodes...
PURPOSE: This study aimed to evaluate the accuracy of deep learning (DL)-based computed tomography (...