Latest AI and machine learning research in intensivists for healthcare professionals.
INTRODUCTION: Sepsis-associated acute kidney injury (SA-AKI) is strongly associated with poor progno...
Severe pneumonia results in high morbidity and mortality despite advanced treatments. This study inv...
Multi-view learning is an emerging field of multi-modal fusion, which involves representing a single...
BACKGROUND: A prediction model that estimates mortality at admission to the intensive care unit (ICU...
We developed an interpretable machine learning algorithm that prospectively predicts the risk of thr...
BACKGROUND: Despite the significance and prevalence of acute respiratory distress syndrome (ARDS), i...
BACKGROUND: Impaired microcirculation is a cornerstone of sepsis development and leads to reduced ti...
Community detection in multi-layer networks stands as a prominent subject within network analysis re...
BACKGROUND: Multidrug-resistant organisms (MDRO) pose a significant threat to public health. Intensi...
Federated learning (FL) has emerged as a significant method for developing machine learning models a...
OBJECTIVE: Cellulitis is the most common cause of skin-related hospitalisations, and the mortality o...
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: Sedatives are commonly used to promote sleep in intensive care unit patients. However, i...
Septic cardiomyopathy (SCM) is characterized by an abnormal inflammatory response and increased mort...
Multi-modal attention mechanisms have been successfully used in multi-modal graph learning for vario...
Multi-Modal Entity Alignment (MMEA), aiming to discover matching entity pairs on two multi-modal kno...
BACKGROUND: There is no individualized prediction model for intensive care unit (ICU) admission on p...
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...