AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Oliguria

Showing 1 to 2 of 2 articles

Clear Filters

Machine learning for the prediction of volume responsiveness in patients with oliguric acute kidney injury in critical care.

Critical care (London, England) 30961662
BACKGROUND AND OBJECTIVES: Excess fluid balance in acute kidney injury (AKI) may be harmful, and conversely, some patients may respond to fluid challenges. This study aimed to develop a prediction model that can be used to differentiate between volum...
Acute Kidney Injury Aged Aged, 80 and over Critical Care Female Fluid Therapy Humans Intensive Care Units Logistic Models Machine Learning Male Middle Aged Oliguria Time Factors
View on PubMed DOI

External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients.

Journal of nephrology 35554875
OBJECTIVES: The purpose of this study was to externally validate algorithms (previously developed and trained in two United States populations) aimed at early detection of severe oliguric AKI (stage 2/3 KDIGO) in intensive care units patients.
Acute Kidney Injury Critical Illness Deep Learning Humans Intensive Care Units Oliguria
View on PubMed DOI
Popular Topics
Recent Journals