Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: Although risk calculators are used to prognosticate postoperative outcomes following rev...
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...
The 2019 novel coronavirus (renamed SARS-CoV-2, and generally referred to as the COVID-19 virus) has...
Severe COVID-19 can lead to extensive lung disease causing lung architectural distortion. In this st...
The growing concern of pediatric mortality demands heightened preparedness in clinical settings, esp...
BACKGROUND: Lower respiratory tract infections represent prevalent ailments. Nonetheless, current co...
When designing live-attenuated respiratory syncytial virus (RSV) vaccine candidates, attenuating mut...
Proactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks...
Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on h...
BACKGROUND: Extracorporeal membrane oxygenation (ECMO) is resource intensive with high mortality. Id...
Our aim was to develop a machine learning-based predictor for early mortality and severe intraventri...
 Natural language processing (NLP), a subset of artificial intelligence (AI), aims to decipher unst...
BACKGROUND: Current classification for acute kidney injury (AKI) in critically ill patients with sep...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the COVID-19 disease, which ...
BACKGROUND: ICU readmissions and post-discharge mortality pose significant challenges. Previous stud...
To provide accurate predictions, current machine learning-based solutions require large, manually la...
BACKGROUND: Sepsis is a severe form of systemic inflammatory response syndrome that is caused by inf...
PURPOSE: This study investigates the potential of machine learning (ML) algorithms in improving seps...
BACKGROUND: Early identification of high-risk groups of children with sepsis is beneficial to reduce...
The two major challenges to deep-learning-based medical image segmentation are multi-modality and a ...