Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: Despite the established antithrombotic benefits of aspirin in cardiovascular disease, it...
Tracking patient preferences is vital to medical decision-making, but evidence suggests that the sta...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a critical clinical condition characterize...
PURPOSE: Lung cancer is the leading cause of cancer-related mortality worldwide, yet its underlying ...
BACKGROUND: Automated structuring of radiology reports is essential for data utilization and the dev...
OBJECTIVE: Manual end-inspiratory pause maneuvers (EIPM) for plateau pressure (Pplat) measurement su...
Neurological prognostication of patients in post-traumatic coma remains challenging due to the pauci...
Artificial intelligence (AI) is increasingly used in healthcare, yet translation into routine intens...
OBJECTIVE: To systematically review machine learning-based sepsis prediction studies, examining mode...
The ELDER-ICU model, a machine learning tool for predicting in-hospital mortality in critically ill ...
A significant proportion of intensive care unit (ICU) patients undergo surgical procedures, and some...
Clinical research studies routinely apply exclusion criteria and data preprocessing steps that can s...
BACKGROUND: Vascular access (VA) for hemodialysis is achieved through arteriovenous fistulas (AVF), ...
BACKGROUND Artificial intelligence (AI) is increasingly explored as a clinical decision-support tool...
T1 high-grade (T1HG) bladder cancer represents an aggressive subset of non-muscle-invasive bladder c...
BACKGROUND: To develop and validate a machine learning (ML) model to assess the risk of chronic crit...
INTRODUCTION: Histone deacetylases (HDACs) play critical roles in immune regulation and inflammatory...
OBJECTIVES: To assess the SRAG dataset's potential for modeling COVID-19 mortality and LOS-ICU, iden...
Respiratory disease classification using lung sound analysis offers a non-invasive and cost-effectiv...
PURPOSE OF REVIEW: This review summarizes high-level evidence on clinical decision support systems, ...
Object detection in sports videos serves as a fundamental task for applications such as intelligent ...