Tag: AI
Predicting MODS in Trauma-induced Sepsis with Machine Learning Models
The nomogram and machine learning models provide enhanced predictive accuracy for multiple organ dysfunction syndrome (MODS) in trauma-induced sepsis patients compared to traditional scoring systems. These tools, accessible... read more
Enhanced Prediction of ICU LOS Using a Stack Ensemble of Machine Learning Models
The Length of Stay (LoS) refers to the time between a patient's hospital admission and discharge. LoS is considered to increase as the complexity of the disease increases. A prolonged stay in the Intensive Care Unit (ICU)... read more
Rapid and Accurate Sepsis Identification Using AI
This study demonstrates that by providing streamlined predictions using CBC+DIFF data without requiring extensive clinical parameters, the AI-CDSS can be seamlessly integrated into clinical workflows, enhancing rapid, accurate... read more
Predicting ICU Admission in COVID-19-Infected Pregnant Women Using Machine Learning
Routinely collected clinical and laboratory data of COVID-19-infected pregnant women may help recognize high-risk groups who are more liable for complications and more severe course or prognosis and require an ICU admission.... read more
Prediction of Prolonged Mechanical Ventilation in the ICU via Machine Learning
Early recognition of risk factors for prolonged mechanical ventilation (PMV) could allow for early clinical interventions, prevention of secondary complications such as nosocomial infections, and effective triage of hospital... read more
An Optimal Antibiotic Selection Framework for Sepsis Patients Using AI
In this work we present OptAB, the first completely data-driven online-updateable antibiotic selection model based on Artificial Intelligence (AI) for Sepsis patients accounting for side-effects. OptAB performs an iterative... read more
AI Interpretation of Chest Radiographs in the ICU. Ready for Prime Time?
Chest radiography (CXR) is the primary tool to visualize thoracic pathologies in the ICU. However, accurate interpretation of CXRs is challenging, even when imaging is performed under optimal conditions. This results... read more
