Tag: prediction

RealMIP: The AI That Sees Death Coming in Real Time

A groundbreaking new framework called RealMIP finally cracks the long-standing problem of real-time mortality prediction in chaotic ICU data streams riddled with missing values and irregular sampling. By combining cutting-edge... read more

AI Spots Deadly Sepsis Clotting Crisis Hours Earlier – Now Live as a Free Web Tool

In a large multi-center retrospective study using the MIMIC-IV and eICU-CRD databases, researchers developed an interpretable machine learning model to predict sepsis-induced coagulopathy (SIC) within 7 days of ICU admission.... read more

DeLLiriuM: LLMs Predict Delirium Risk in the ICU

DeLLiriuM is a novel large language model (LLM) designed to predict delirium in Intensive Care Unit (ICU) patients after the initial 24 hours of admission, using structured electronic health records (EHR). What sets DeLLiriuM... read more

Sepsis Danger: High Ferritin Levels Flag Risk of Acute Liver Injury

This study used data from the MIMIC-IV database (training group) and an external hospital dataset (clinical validation group) to develop and validate a prediction model for sepsis-associated acute liver injury (SALI). The... read more

Predicting the Next 48 Hours: Machine Learning Delivers Dynamic, Interpretable ICU Mortality Forecasts

The LGBM-48h algorithm provides a dynamic, clinically applicable, and interpretable framework for 48-hour ICU mortality risk prediction. By establishing mortality risk-based categories and showing how key features change... read more

The Power and Pitfalls of AI: GPT Masters ICU Prediction But Struggles with ED Discharge

This retrospective proof-of-concept study investigated GPT-4o's ability to predict disposition (admission vs. discharge) for high-acuity ED patients with complex respiratory cases who required pulmonology consultation and... read more

Beyond SOFA: Sepsis ImmunoScore Redefines Risk Stratification for Mortality and ICU Admission

This multicenter observational study involving over 6,000 adult patients found that the Sepsis ImmunoScore, an AI-based tool, significantly outperformed six conventional clinical scores and biomarkers in predicting sepsis,... read more

Eosinopenia as a Predictor of Clinical Outcomes in CAP Patients

Contrary to previously published data, our analysis did not demonstrate an association between eosinopenia and increased mortality risk in hospitalized patients with community-acquired pneumonia (CAP), highlighting the complexity... read more

Predicting SA-AKI Mortality Using XGBoost Algorithm

The integration of advanced techniques with the XGBoost algorithm yielded a highly accurate and interpretable model for predicting Sepsis-Associated Acute Kidney Injury (SA-AKI) mortality across diverse populations. It... read more

Vital Signs and Serum Biomarkers Model Outperforms Shock Index in HCI Prediction

In this study of surgical ICU patients with concern for ongoing bleeding, a prediction model using serial VS and biomarkers outperformed the SI and may help identify those requiring hemorrhage control interventions (HCI). This... read more

Dynamic Nomogram for AKI Prediction in ICU Patients with AHF

After strict screening, 1338 patients with acute heart failure (AHF) were included in the derivation set, and 3,129 in the validation set. Sepsis, use of human albumin, age, mechanical ventilation, aminoglycoside administration,... 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

Using Critical Ultrasound To Predict Early Diagnosis of ICU-acquired Weakness in Septic Patients

This study uncovered pivotal indicators for predicting the occurrence of ICUAW in septic patients. Despite no significant difference in age, gender, BMI, BSA, or SOFA scores between the two groups, the significant differences... read more

Sepsis Mortality Prediction in ICU Patients Using Machine Learning

This study has achieved significant advancements in predicting sepsis outcomes by utilizing advanced machine learning techniques and sophisticated data preprocessing methods. These methods include data grouping and effective... read more

Estimated and Measured Post-tetanic Count Effect

Comparison of two pharmacokinetic–pharmacodynamic models of rocuronium bromide during profound neuromuscular block. Our findings indicate that using plasma concentrations of rocuronium bromide estimated with either of... read more

COVID-19 Mortality Prediction Model

While there have been extensive analyses characterizing cellular and humoral responses across the severity spectrum in COVID-19, predictors of outcomes within severe COVID-19 remain to be comprehensively elucidated. Recently,... read more

Early Mortality Prediction in Sepsis Patients Using Structured Features and Unstructured Clinical Notes

Sepsis is an important cause of mortality, especially in intensive care unit (ICU) patients. Developing novel methods to identify early mortality is critical for improving survival outcomes in sepsis patients. Using the... read more

Multi-task Prediction of Organ Dysfunction in ICUs

The intensive care unit (ICU) of a hospital looks after the most medically vulnerable patients, many of whom require organ support, such as mechanical ventilation or dialysis. While always critical, the demand on ICU services... read more

A Practical Integrated Radiomics Model Predicting COVID-19 Hospitalization

It has been widely demonstrated that radiological imaging significantly contributes to diagnosing and monitoring pulmonary and systemic involvement of patients affected by COVID-19 using different techniques like chest X-ray... read more

Cardiorespiratory Compromise in the Perioperative Environment

Perioperative cardiorespiratory compromise is common and goes largely undetected. Predictive cardiorespiratory indices can help in early detection of harmful deviations and guide preemptive treatment. Using continuous... read more

Deep RNA Sequencing of ICU Patients with COVID-19

Current upper respiratory tract testing for COVID-19 only determines if the virus is present. Deep RNA sequencing with appropriate computational biology may provide important prognostic information and point to therapeutic... read more

Artificial Neural Networks Improve Prediction and Risk Classification in ICU Patients

A supervised machine learning model using artificial neural networks (ANN) predicted neurological recovery, including survival excellently, and outperformed a conventional model based on logistic regression. Among the data... read more