Latest AI and machine learning research in intensivists for healthcare professionals.
The use of invasive mechanical ventilation (IMV) is crucial in rescuing patients with respiratory dy...
OBJECTIVES: This study aimed to explore the underlying mechanisms of sepsis and acute kidney injury ...
This paper proposes a novel approach to semantic representation learning from multi-view datasets, d...
Renal recovery following dialysis-requiring acute kidney injury (AKI-D) is a vital clinical outcome ...
BACKGROUND: This study aimed to develop a higher performance nomogram based on explainable machine l...
Deep learning image reconstruction (DLIR) algorithms employ convolutional neural networks (CNNs) for...
In this study, we present a novel approach for predicting interventions for patients in the intensiv...
. Acute hypotension episode (AHE) is one of the most critical complications in intensive care unit (...
This study addresses the challenge of accurately diagnosing sepsis subtypes in elderly patients, par...
AIM: Acute respiratory distress syndrome or ARDS is an acute, severe form of respiratory failure cha...
BACKGROUND: The aim of this retrospective cohort study was to develop and validate on multiple inter...
The demand for "online meetings" and "collaborative office work" keeps surging recently, producing a...
Intracranial pressure (ICP) is commonly monitored to guide treatment in patients with serious brain ...
This study focuses on understanding the transcriptional heterogeneity of activated platelets and its...
The quick proliferation of pandemic diseases has been imposing many concerns on the international he...
BACKGROUND: In recent epochs, the field of critical medicine has experienced significant advancement...
Neutrophil extracellular trap (NET) is released by neutrophils to trap invading pathogens and can le...
As the global demand for clean energy continues to grow, the sustainable development of clean energy...
BACKGROUND: Antibiotic-associated diarrhea (AAD) can prolong hospitalization, increase medical costs...
The goal of multi-modal neural machine translation (MNMT) is to incorporate language-agnostic visual...
Severe COVID-19 can lead to extensive lung disease causing lung architectural distortion. In this st...