Latest AI and machine learning research in critical care for healthcare professionals.
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...
OBJECTIVE: We aimed to develop a data-driven machine learning model for predicting critical deterior...
BACKGROUND: Current strategies for risk stratification and prediction of neonatal early-onset sepsis...
Sepsis is a major public health problem and a leading cause of death in the world, where delay in th...
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since 2019 has made mask-...
BACKGROUND: Coronavirus (COVID-19) is a group of infectious diseases caused by related viruses calle...
INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack o...
Automated analysis of the blood oxygen saturation (SpO) signal from nocturnal oximetry has shown use...
OBJECTIVE: To construct length of intensive care unit (ICU) stay (LOS-ICU) prediction models for ICU...
In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accura...
OBJECTIVES: Respiratory binning of free-breathing magnetic resonance imaging data reduces motion blu...