Latest AI and machine learning research in intensivists for healthcare professionals.
OBJECTIVE: To systematically review and characterize methodological heterogeneity in sepsis case det...
Foundation models, particularly large language models, can process the unstructured data central to ...
Aluminum nanoparticles (ANPs) are among the most energy-dense solid fuels, yet the atomic mechanisms...
BACKGROUND: Factors driving intensive care unit (ICU) transfer decisions and mortality after rapid r...
PURPOSE: Emerging diagnostic, computational, and precision approaches are expanding the ability to d...
BACKGROUND: Cardiogenic shock (CS) exhibits marked clinical heterogeneity, limiting the performance ...
BACKGROUND: Iron metabolism disorders were frequently observed in sepsis, yet their association with...
BACKGROUND: Early identification of myasthenia gravis (MG) severe exacerbations that require intensi...
BACKGROUND: Sepsis-induced left ventricular (LV) dysfunction complicates fluid resuscitation, increa...
Severe pneumonia is the most common cause of acute respiratory distress syndrome (ARDS), and precise...
Sepsis-related myocardial injury (SRMI) is associated with high mortality, but the transportability ...
OBJECTIVE: We developed and validated interpretable machine learning models predicting successful we...
BackgroundPostoperative delirium is a serious complication in elderly ICU patients after gastric sur...
BACKGROUND: Low- and middle-income countries (LMICs), particularly Sub-Saharan Africa, experience a ...
OBJECTIVE: Artificial intelligence is increasingly applied in paediatric cardiology and cardiac inte...
BACKGROUND: Sepsis and thoracic aortic aneurysm (TAA) share pathological features of inflammation an...
OBJECTIVES: To evaluate associations between antenatal fetal biometric and Doppler parameters and ne...
PURPOSE: Neurocritical conditions present significant challenges in the intensive care unit (ICU), e...
BACKGROUND AND AIMS: Despite widespread Infection Prevention and Control (IPC) measures, Healthcare-...
BACKGROUND: AI has the potential to enhance clinical decision-making in high-acuity settings such as...
BACKGROUND: During radiation therapy, liver tumor motion can reduce dose delivery accuracy and incre...