Latest AI and machine learning research in critical care for healthcare professionals.
INTRODUCTION: Understanding 1-year mortality following major surgery offers valuable insights into p...
Traumatic Brain Injury (TBI) is a form of brain injury caused by external forces, resulting in tempo...
BACKGROUND: Predictive, preventive, and personalized medicine (PPPM/3PM) is a strategy aimed at impr...
The loads that have several working states cannot be accurately distinguished by the conventional No...
INTRODUCTION: Heart failure (HF) has a very high prevalence in patients with maintenance hemodialysi...
BACKGROUND: Sepsis is a major cause of mortality in intensive care units (ICUs) and continues to pos...
Machine learning is widely used in dentistry nowadays, offering efficient solutions for diagnosing d...
Event-related potentials (ERPs) can reveal brain activity elicited by external stimuli. Innovative m...
BACKGROUND: Prognosis prediction in the intensive care unit (ICU) traditionally relied on physiologi...
The methodology of machine learning with multi-omics data has been widely adopted in the discriminat...
In the present scenario, cancerous tumours are common in humans due to major changes in nearby envir...
Although prediction models for heart transplantation outcomes have been developed previously, a comp...
BACKGROUND: Ventilator-associated pneumonia (VAP) is a common nosocomial infection in ICU, significa...
How can we recommend items to users utilizing multiple types of user behavior data? Multi-behavior r...
This study introduces an innovative deep-learning model for cuffless blood pressure estimation using...
Currently, spatiotemporal convolutional neural networks (CNNs) for electroencephalogram (EEG) signal...
Domain adaptation has demonstrated success in classification of multi-center autism spectrum disorde...
Exploring associations between long non-coding RNAs (lncRNAs), microRNAs (miRNAs) and diseases is cr...
Motor imagery (MI) decoding is the basis of external device control via electroencephalogram (EEG). ...
Recently, Electrooculography-based Human-Computer Interaction (EOG-HCI) technology has gained widesp...
To address the challenge of low recognition accuracy in transformer fault detection, a novel method ...