Latest AI and machine learning research in ethics for healthcare professionals.
In recent years, identifying road users' behavior and conflicts at intersections have become an esse...
BACKGROUND: This retrospective study aims to validate the effectiveness of artificial intelligence (...
PURPOSE: Deep learning reconstruction (DLR) has been recommended as useful for improving image quali...
Yamada and Teixeira da Silva voiced valid concerns with the inadequacies of an online machine learni...
The well-being of students and staff directly affects their output and efficiency. This study presen...
Medical imaging is playing an important role in diagnosis and treatment of diseases. Generative arti...
The difficulty of explaining the outputs of artificial intelligence (AI) models and what has led to ...
A microbial fuel cell (MFC), which is a new type of energy source, utilises electrogenic bacteria in...
BACKGROUND: Viral acute respiratory illnesses (viral ARIs) contribute significantly to human morbidi...
This paper proposes a deep learning approach for solving non-smooth convex optimization problems (NC...
In this paper, the problem of multiplayer hierarchical decision-making problem for non-affine system...
Obtaining text datasets with semantic annotations is an effortful process, yet crucial for supervise...
The human stomach is a complex organ. Its role is to degrade food particles by using mechanical forc...
Hemoglobin, a crucial protein found in erythrocytes, transports oxygen throughout the body. Deviatio...
The egg is considered one of the best sources of dietary protein, and has an important role in human...
In this paper I argue that Artificial Intelligence and the many data science methods associated with...
OBJECTIVE: To develop a non-invasive fluid biopsy assisted diagnosis model for glomerular diseases b...
Catheter ablation (CA) is the first-line treatment for atrial fibrillation (AF) patients. However, t...
PURPOSE: To evaluate the effectiveness of automated liver segmental volume quantification and calcul...
Neoadjuvant therapies are used for locally advanced non-small cell lung carcinomas, whereby patholog...
Accurate stroke assessment and consequent favorable clinical outcomes rely on the early identificati...