Latest AI and machine learning research in critical care for healthcare professionals.
OBJECTIVE: To retrieve and appraise studies of deployed artificial intelligence (AI)-based sepsis pr...
OBJECTIVE: In view of the important role of risk prediction models in the clinical diagnosis and tre...
BACKGROUND: Dialysis machines are used regularly in healthcare practice. They are classified as a ty...
BACKGROUND: Mechanical ventilators are medical devices used in intensive care units when patients ar...
Artificial intelligence technology is trending in nearly every medical area. It offers the possibili...
Cardiovascular morbidity and mortality occur with an extraordinarily high incidence in the hemodialy...
Clinical decision support (CDS) has shown a positive effect on physicians. There is variability amon...
This paper describes developments in the fields of asthma and COPD self-management interventions (SM...
Continuous renal replacement therapy (CRRT) is the main extracorporeal kidney support therapy used i...
To investigate the effect of individualized positive end expiratory pressure (PEEP) setting guided ...
OBJECTIVE: To propose a deep learning model for modeling and prediction of the integration of respir...
OBJECTIVE: This article is a general overview about artificial intelligence/machine learning (AI/ML)...
BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the inten...
OBJECTIVE: Clinical notes contain information that has not been documented elsewhere, including resp...
Objective To compare the performance of five machine learning models and SAPS II score in predicting...
In three recent and related publications, researchers from Johns Hopkins University and Bayesian Hea...
BACKGROUND: Patients in the intensive care unit (ICU) are often in critical condition and have a hig...
Supervision of mechanical ventilation is currently still performed by clinical staff. With the incre...
Ambulatory respiration signal extraction system is required to maintain continuous surveillance of a...
This paper evaluates a range of deep learning frameworks for detecting respiratory anomalies from in...
In this study, a patient in the Intensive Care-Unit received robot-based mobilization therapy with a...