Latest AI and machine learning research in intensivists for healthcare professionals.
The high workload in intensive care medicine arises from the exponential growth of medical knowledge...
The lack of annotated datasets makes the automatic detection of skin problems very difficult, which ...
The aim of this study is to build machine learning models to predict severe complications using admi...
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency M...
This study was aimed at exploring the application of image segmentation based on full convolutional ...
ELECTRE is a family of multi-criteria decision analysis techniques, which has the ability to provide...
Clinical named entity recognition (CNER) is a fundamental step for many clinical Natural Language Pr...
Neurons refer to nerve cells. Each neuron is connected with thousands of other neurons to form a cor...
OBJECTIVES: An automatic system utilizing both the advantages of the neural network and the radiomic...
In this study, a three-dimensional (3D) printed soft robotic hand with embedded soft sensors, intend...
PURPOSE: To develop a computer-aided diagnostic (CADx) system of age-related macular degeneration (A...
Direct multi-task twin support vector machine (DMTSVM) is an effective algorithm to deal with multi-...
The use of Artificial Intelligence in medical decision support systems has been widely studied. Sinc...
Hemorrhagic shock remains the leading cause of mortality in civilian trauma and battlefield settings...
In this paper, we introduce a new variation of the Convolutional Neural Network Inception block, cal...
For 360° video, the existing visual quality assessment (VQA) approaches are designed based on either...
Anticipating intensive care unit (ICU) occupancy is critical in supporting decision makers to impose...
OBJECTIVE: As data science and artificial intelligence continue to rapidly gain traction, the public...
In order to solve the problem in which most currently existing research focuses on the binary tactil...
Adversarial examples are usually generated by adding adversarial perturbations on clean samples, des...
The key issue in the field of smart contract security is efficient and rapid vulnerability detection...