Latest AI and machine learning research in critical care for healthcare professionals.
The accuracy of de novo protein structure prediction has been improved considerably in recent years,...
With the rapid development of unmanned surfaces and underwater vehicles, fault diagnoses for underwa...
PURPOSE: To enable real-time adaptive magnetic resonance imaging-guided radiotherapy (MRIgRT) by obt...
Diffuse gliomas are the most common malignant primary brain tumors. Identification of isocitrate deh...
Multi-view clustering has become an active topic in artificial intelligence. Yet, similar investigat...
Heart auscultation is an inexpensive and fundamental technique to effectively diagnose cardiovascula...
A massive amount of multimodal data are continuously collected in the intensive care unit (ICU) alon...
Similar diseases are usually caused by molecular origins or similar phenotypes. Confirming the relat...
The current mode of use of Electronic Health Records (EHR) elicits text redundancy. Clinicians often...
OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development,...
: This study aimed to investigate whether predictive indicators for the deterioration of respiratory...
Gas supply system risk assessment is a serious and important problem in cities. Existing methods ten...
PURPOSE: Some predictive systems using machine learning models have been developed to predict sepsis...
Sepsis is a major public and global health concern. Every hour of delay in detecting sepsis signific...
PURPOSE: The accuracy of the CyberKnife Synchrony Respiratory Tracking System is dependent on the br...
The predictive Intensive Care Unit (ICU) scoring system plays an important role in ICU management fo...
Although numerous studies are conducted every year on how to reduce the fatality rate associated wi...
DNA profiles are generated in forensic biology laboratories around the world. It is possible that th...
In medical visualization, nursing notes contain rich information about a patient's pathological cond...
This paper proposes a new method to make short-term predictions for the three kinds of primary energ...
The existing ultrasonic obstacle avoidance robot only uses an ultrasonic sensor in the process of ob...