Latest AI and machine learning research in critical care for healthcare professionals.
PURPOSE: Contrast-enhanced magnetic resonance imaging (CE-MRI) monitoring across multiple time point...
Sepsis, a life-threatening disease caused by infection, presents a major global health challenge due...
Many deep learning methods have been proposed for brain tumor segmentation from multi-modal Magnetic...
Landslide susceptibility mapping has become an essential task to ensure economic and social sustaina...
Glaucoma is the leading cause of irreversible blindness worldwide. Currently, artificial intelligenc...
The emerging density in today's urban environments requires a strong multi-camera architecture for r...
Forensic pathology plays a vital role in determining the cause and manner of death through macroscop...
OBJECTIVE: Many healthcare problems involve complex patient trajectories represented as Multivariate...
In multi-robot collaboration, individual failures can propagate to other robots due to the topologic...
To address the limitations of silicon-based devices in neuromorphic computing, this study proposes a...
BACKGROUND: Nosocomial infections are a major cause of morbidity and mortality in the ICU. Earlier i...
Intellectual disability (ID) refers to a disorder involving intelligence and adaptive behavior that ...
In the maritime industry, accurately detecting a ship's draft line is crucial for ensuring transacti...
The study aimed to establish and validate a nomogram model to predict postoperative delirium (POD) a...
BACKGROUND: Hospitals and health care systems may benefit from artificial intelligence (AI) and big ...
The internet is one of the essential tools today, and its impact is particularly felt among universi...
OBJECTIVES: Predicting optimal coagulation control using heparin in intensive care units (ICUs) rema...
BACKGROUND AND OBJECTIVE: Despite advances in intensive care, sepsis remains a leading cause of mort...
Data-driven intelligent fault diagnosis methods have become essential for ensuring the reliability a...
Federated learning is a distributed machine learning framework that allows multiple parties to colla...
This work introduces the Advanced Multi-Objective Salp Swarm Algorithm Exploration Technique (AMET),...