Initial hours of hospital admission impact clinical trajectory, but earl...
With Artificial Intelligence (AI) increasingly permeating various aspect...
Acute brain dysfunctions (ABD), which include coma and delirium, are
pre...
Existing Intensive Care Unit (ICU) delirium prediction models do not con...
The intensive care unit (ICU) is a specialized hospital space where
crit...
In the United States, more than 5 million patients are admitted annually...
Objectives: We aim to quantify longitudinal acute kidney injury (AKI)
tr...
Pain is a common occurrence among patients admitted to Intensive Care Un...
Recent deep learning research based on Transformer model architectures h...
Low physical activity levels in the intensive care units (ICU) patients ...
Background: During the early stages of hospital admission, clinicians mu...
Accurate prediction of postoperative complications can inform shared
dec...
Critical care patients experience varying levels of pain during their st...
Pain and physical function are both essential indices of recovery in
cri...
In the last decade, Human Activity Recognition (HAR) has become a very
i...
To test the hypothesis that accuracy, discrimination, and precision in
p...
Purpose: Summarize ICU delirium prediction models published within the p...
Background: Patients undergoing critical care can experience negative
ou...
Background: Acute kidney injury (AKI) is one of the most common complica...
Acute kidney injury (AKI) is a common and serious complication after a
s...
Temporal Pattern Mining (TPM) is the problem of mining predictive comple...
Currently, many critical care indices are repetitively assessed and reco...
Background: Major postoperative complications are associated with increa...
Traditional methods for assessing illness severity and predicting in-hos...
Early mobilization of critically ill patients in the Intensive Care Unit...
Surgery risk assessment is an effective tool for physicians to manage th...
The past decade has seen an explosion in the amount of digital informati...