Latest AI and machine learning research in critical care for healthcare professionals.
OBJECTIVE: Cellulitis is the most common cause of skin-related hospitalisations, and the mortality o...
Breathing is one of the body's most basic functions and abnormal breathing can indicate underlying c...
Histological images are frequently impaired by local artifacts from scanner malfunctions or iatrogen...
Explainable Artificial Intelligence (XAI) techniques generate explanations for predictions from AI m...
BACKGROUND AND AIM: Acute pancreatitis (AP) is potentially fatal. Therefore, early identification of...
PURPOSE: This study aims to develop and validate a prediction model for delirium in elderly ICU pati...
Septic cardiomyopathy (SCM) is characterized by an abnormal inflammatory response and increased mort...
Continuous renal replacement therapy (CRRT) is a form of dialysis prescribed to severely ill patient...
Multi-modal attention mechanisms have been successfully used in multi-modal graph learning for vario...
This study aimed to develop a new simple and effective prognostic model using artificial intelligenc...
Short-term exposure to ground-level ozone (O) poses significant health risks, particularly respirato...
Multi-Modal Entity Alignment (MMEA), aiming to discover matching entity pairs on two multi-modal kno...
This study aimed to develop a machine learning (ML)-based tool for early and accurate prediction of ...
BACKGROUND: Cerebral vasospasm (CV) is a feared complication which occurs after 20-40% of subarachno...
Respiratory rate (RR) is a vital indicator for assessing the bodily functions and health status of p...
BACKGROUND: Acute respiratory infections (ARIs) are the leading cause of death in children under the...
BACKGROUND: There is no individualized prediction model for intensive care unit (ICU) admission on p...
Leptospirosis is a global disease that impacts people worldwide, particularly in humid and tropical ...
The rapid advancements in Artificial Intelligence of Things (AIoT) are pivotal for the healthcare se...
OBJECTIVE: To develop a sepsis death classification model based on machine learning techniques for p...
BACKGROUND: Patients in serious condition due to COVID-19 often require special care in intensive ca...