Latest AI and machine learning research in critical care for healthcare professionals.
Originally isolated from swine, the proposed influenza D virus has since been shown to be common in ...
PURPOSE: To evaluate in a multi-institutional study whether radiomic features useful for prostate ca...
Implantable cardioverter defibrillators (ICD) and cardiac resynchronization therapy (CRT) reduce mor...
BACKGROUND: In cases of loop diuretic resistance in the intensive care unit (ICU), recommendations f...
The aim of this study was to evaluate the efficacy of two metaphylactic approaches (long acting anti...
Physiological variables, such as heart rate (HR), blood pressure (BP) and respiration (RESP), are ti...
A girl aged six months was hospitalized because of resistant seizures and was discharged with phenob...
This paper presents a novel multi-sensor framework to efficiently identify, track, localise and map ...
Perirectal space segmentation in computed tomography images aids in quantifying radiation dose recei...
Disease diagnosis is one of the major data mining questions by the clinicians. The current diagnosis...
Respiratory syncytial virus (RSV) causes infections that range from common cold to severe lower resp...
This article proposes the employment of a proportional valve that can calculate the amount of oxygen...
BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to ...
As a common disease in the elderly, neural foramina stenosis (NFS) brings a significantly negative i...
Some level of uncertainty is unavoidable in acquiring the mass, geometry parameters and stability de...
Obstructive sleep apnea is a sleep disorder which may lead to various results. While some studies us...
High-grade glioma is the most aggressive and severe brain tumor that leads to death of almost 50% pa...
Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is st...
BACKGROUND: In 1998, a French survey showed that the referral of patients with chronic kidney diseas...
Machine learning approaches have been widely used for the identification of neuropathology from neur...
BACKGROUND: Hierarchical Multi-Label Classification is a classification task where the classes to be...