Latest AI and machine learning research in critical care for healthcare professionals.
OBJECTIVE: To summarise the proceedings of the third Asia Pacific Critical Care Societies Summit and...
BACKGROUND: Despite low-molecular-weight heparin (LMWH) prophylaxis, the incidence of deep vein thro...
BACKGROUND: Severity scoring systems are increasingly important tools for stratifying hospitalised p...
Background: Interstitial lung abnormalities (ILA) on chest CT are receiving growing attention given ...
BACKGROUND: Machine learning (ML) can be used to predict clinical outcomes. Training predictive mode...
Stereotactic Arrhythmia Radioablation (STAR) is a promising treatment for refractory ventricular tac...
OBJECTIVE: Acute pancreatitis (AP) is a life-threatening disorder commonly observed in emergency dep...
Sepsis, a life-threatening condition triggered by dysregulated host response to infection, poses sig...
Therapeutic drug monitoring is essential for ensuring the efficacy and safety of vancomycin therapy ...
BACKGROUND: Large language models (LLMs) can support clinical decision-making by parsing databases a...
BACKGROUND: Pulmonary ventilation imaging enables functional avoidance radiotherapy treatment plans ...
BACKGROUND: Critically ill patients generate large volumes of complex data, creating challenges for ...
Artificial intelligence (AI) has rapidly emerged as a transformative force across multiple scientifi...
BACKGROUND: Clinical Decision Support (CDS) tools integrated with Electronic Health Records increasi...
PURPOSE: Intraoperative hypotension and cardiac output (CO) reduction adversely affect outcomes and ...
The study aimed to predict the risks of Major adverse cardiac events (MACE) in patients undergoing p...
Extracorporeal membrane oxygenation (ECMO) is widely used in patients with severe cardiac or respira...
Patients undergoing cardiothoracic and vascular surgery are at uniquely high risk for postoperative ...
OBJECTIVES: Accurate documentation of distant recurrence sites in breast cancer is essential for eva...
BACKGROUND: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pedi...
BACKGROUND: Natural language processing (NLP) is a key technology to extract patient information fro...