Latest AI and machine learning research in critical care for healthcare professionals.
Long non-coding RNAs (lncRNAs) are strongly associated with cellular physiological mechanisms and im...
Over recent years, automated Human Activity Recognition (HAR) has been an area of concern for many r...
BACKGROUND: Papillary thyroid carcinoma (PTC) is the predominant form of thyroid cancer globally, es...
BACKGROUND: Sepsis remains a significant challenge in patients with major trauma in the ICU. Early d...
Graph convolutional networks have achieved remarkable success in the field of multi-view learning. U...
In MARL (Multi-Agent Reinforcement Learning), the trial-and-error learning paradigm based on multipl...
INTRODUCTION: Pulmonary barotrauma in coronavirus disease-2019 (COVID-19) acute respiratory distress...
OBJECTIVES:  The primary objective was to evaluate the influence of sagittal skeletal pattern on man...
This work presents a robust strategy for quantifying overlapping electrochemical signatures originat...
Deep learning methods have been widely used for various glioma predictions. However, they are usuall...
Manual annotation of ultrasound images relies on expert knowledge and requires significant time and ...
BACKGROUND AND OBJECTIVE: Helmet-Continuous Positive Airway Pressure (H-CPAP) is a non-invasive resp...
Sepsis-associated encephalopathy (SAE) is common in septic patients, characterized by acute and long...
BACKGROUND: Prolonged dependence on mechanical ventilation is a common occurrence in clinical ICU pa...
BackgroundEffective brain tumour therapy and better patient outcomes depend on early tumour diagnosi...
In multi-agent cooperative tasks, the presence of heterogeneous agents is familiar. Compared to coop...
Emotions play a crucial role in human thoughts, cognitive processes, and decision-making. EEG has be...
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the s...
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is link...
Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), a prominent ...
Significant efforts were currently being made worldwide to develop a tool capable of distinguishing ...