Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: Timely detection of modifiable risk factors for postoperative pulmonary complications (P...
In the realm of long document classification (LDC), previous research has predominantly focused on m...
Artificial intelligence (AI) in healthcare is the ability of a computer to perform tasks typically a...
Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in...
BACKGROUND AND OBJECTIVE: Mechanical ventilation is a life-saving treatment for critically-ill patie...
Neonatal respiratory distress syndrome (nRDS) is a challenging condition to diagnose which can lead ...
BACKGROUND AND OBJECTIVE: Critically ill children may suffer from impaired neurocognitive functions ...
Atrial fibrillation (AF) stands as the predominant arrhythmia observed in ICU patients. Nevertheless...
To improve respiratory gating accuracy and radiation treatment throughput, we developed a generalize...
PURPOSE: The health and economic consequences of artificial intelligence (AI) systems for mechanical...
OBJECTIVE: This study aims to design, validate and assess the accuracy a deep learning model capable...
We present a novel methodology for integrating high resolution longitudinal data with the dynamic pr...
OBJECTIVES: This study aimed to develop machine learning models for risk prediction of continuous re...
PURPOSE: Radiotherapy planning incorporating functional lung images has the potential to reduce pulm...
BACKGROUND: Stereotactic body radiotherapy of thoracic and abdominal tumors has to account for respi...
PURPOSE: Treatment of patients undergoing prolonged weaning from mechanical ventilation includes rep...
OBJECTIVE: For patients in the Intensive Care Unit (ICU), the timing of intubation has a significant...
Source localization is significant for mitigating indoor air pollution and safeguarding the well-bei...
We constructed an early prediction model for postoperative pulmonary complications after thoracoscop...
Aneurysmal subarachnoid haemorrhage (aSAH) can lead to complications such as acute hydrocephalic con...
Machine learning (ML) has the potential to revolutionize healthcare, allowing healthcare providers t...