Latest AI and machine learning research in intensivists for healthcare professionals.
Poor outcomes in acute respiratory distress syndrome (ARDS) can be alleviated with tools that suppor...
Recent studies have found that stigmatizing terms can incline physicians to pursue punitive approach...
Sepsis remains a leading cause of mortality in intensive care units (ICUs) worldwide, underscoring t...
To evaluate the efficacy of digital twins developed using a large language model (LLaMA-3), fine-tun...
Capital budgeting in intensive care units (ICUs) demands rapid, high-stakes investment decisions. We...
Patients with acute myocardial infarction (AMI) are in a critical condition, facing a high risk of d...
Cardiac surgery is one of the most complex and high-stakes areas of medicine, where intraoperative d...
Atrial fibrillation (AF) is a prevalent condition in emergency department (ED) patients and is assoc...
Cardiac allograft rejection (CAR) remains the leading cause of early graft failure after heart trans...
Missed opportunities for diagnosis (MODs), sometimes termed diagnostic errors, are a major cause of ...
Acute kidney injury (AKI) affects one-third of patients after cardiac surgery and increases morbidit...
Echocardiography serves as a cornerstone of cardiovascular diagnostics through multiple standardized...
Intravenous (IV) fluids are cornerstone for management of acute kidney injury (AKI) after sepsis but...
Sepsis remains a major cause of preventable pediatric hospital deaths in developing countries, with ...
Accurate risk stratification in heart failure (HF) is crucial to guide clinical decisions, optimise ...
Sepsis-induced immunosuppression, characterized by lymphopenia, is associated with adverse outcomes....
To develop a predictive tool capable of early identification of the risk of acute respiratory failur...
Lower respiratory tract infection (LRTI) is a leading cause of morbidity and mortality among childre...
Carbapenem-resistant Gram-negative bacteria (CR-GNB) represent a major health challenge due to limit...
Recent advances in deep learning have enabled the integration of heterogeneous data modalities for c...
Surgery is inherently associated with complications, making early detection the cornerstone of timel...