Tag: AI

Using AI to Detect and Treat Delirium

The prevention of delirium in ICU represents a major unmet need because of its high prevalence, under-diagnosis, and independent association with adverse outcomes including higher mortality and accelerated cognitive decline.... read more

Unsupervised Multi-modal ML Approach for Robust CPR Signal Denoising

The significance of denoising biomedical signals, particularly in crucial life-saving interventions like cardiopulmonary resuscitation (CPR), cannot be overstated, as the accuracy and reliability of CPR data can be a matter... read more

Machine Learning Model for Predicting Acute Pancreatitis Mortality in the ICU

Machine learning model has been proved to be superior to existing prediction scores for mortality prediction of Acute Pancreatitis (AP). The use of most of previous ML models is limited in clinical practice, mainly due... read more

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