Latest AI and machine learning research in critical care for healthcare professionals.
In multi-party deep learning, multiple participants jointly train a deep learning model through a ce...
Utilizing clinical observational data to estimate individualized treatment effects (ITE) is a challe...
Surgical tool presence detection and surgical phase recognition are two fundamental yet challenging ...
Recent studies have shown that convolutional neural networks (CNNs) can be more accurate, efficient ...
BACKGROUND AND AIMS: We aimed to identify a blood-based gene expression score (GES) to predict the s...
PURPOSE: To study whether ICU staffing features are associated with improved hospital mortality, ICU...
Many studies have been published on a variety of clinical applications of artificial intelligence (A...
Magnetic resonance imaging (MRI) is being increasingly utilized to assess, diagnose, and plan treatm...
This paper shows the application of machine learning techniques to predict hematic parameters using...
Most existing clustering methods employ the original multi-view data as input to learn the similarit...
In this work, we demonstrate a robust, dual marker, biosensing strategy for specific and sensitive e...
BACKGROUND: To develop a machine learning model for predicting acute respiratory distress syndrome (...
INTRODUCTION: Endocan is a specific endothelial mediator involved in the inflammatory response. Its ...
With the rapid development of the internet, social media has become an essential tool for getting in...
CONTEXT AND BACKGROUND: Breast cancer is one of the most common diseases threatening the human lives...
Sepsis is the leading cause of death in non-coronary intensive care units. Moreover, a delay of anti...
PURPOSEÂ : Despite its potential for improvements through supervision, deep learning-based registrati...
Lower respiratory tract infections (LTRIs) are the most common cause of pediatric emergency departm...
Decisions regarding acute stroke treatment rely heavily on imaging, but interpretation can be diffic...
UNLABELLED: To estimate performance characteristics and impact on care processes of a machine learni...
Epilepsy is a neurological illness caused by abnormal discharge of brain neurons, where epileptic se...