BIOENGINEER

Why ICU Staff Say Delirium-Predicting AI Could Succeed or Fail

A qualitative study of eighteen ICU physicians, nurses, and managers reveals that workflow integration, explainable ...
Healio

Q&A: Machine learning models predict risk for delirium in the ICU

Please provide your email address to receive an email when new articles are posted on . By training artificial intelligence, or AI, algorithms with electronic health record data, researchers ...
techtarget

Johns Hopkins Machine-Learning Tools Predict Risk of ICU Delirium

Johns Hopkins University researchers have developed machine-learning (ML) algorithms that can detect the early warning signs of delirium and predict which patients will be at high risk of delirium at ...
News Medical

New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy

In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.
ascopubs.org

Machine learning-based ICU mortality prediction across hematologic malignancy subtypes: A comparative analysis using MIMIC-IV.

Machine learning prediction of clinical tumor lysis syndrome in critically ill patients with hematologic malignancies using laboratory trajectory features: A MIMIC-IV retrospective cohort study.
Cochrane

Does daily stopping of sedation reduce the time people spend on ventilators (breathing machines) in intensive care?

Stopping sedation each day may reduce the time people spend on a ventilator, probably reduces the number who die, and probably reduces the time people spend in intensive care and hospital, compared to ...