Artificial Intelligence (AI) describes computer systems able to perform tasks that normally
require human intelligence, such as visual perception, speech recognition, decision-making …

The rise of complex AI systems in healthcare and other sectors has led to a growing area of
research called Explainable AI (XAI) designed to increase transparency. In this area …

Recent developments in IoT, big data, fog and edge networks, and AI technologies have had
a profound impact on a number of industries, including medical. The use of AI for therapeutic …

Recognizing facial expressions has been a persistent goal in the scientific community. Since
the rise of artificial intelligence, convolutional neural networks (CNN) have become popular …

Current artificial intelligence (AI) models often focus on enhancing performance through
meticulous parameter tuning and optimization techniques. However, the fundamental design …

Parkinson's disease (PD) is a neurodegenerative disorder that influence brain's
neurological, behavioral, and physiological functions and includes motor and nonmotor …

Abstract Introduction Monitoring LDL-C levels is essential in clinical practice because there
is a direct relation between low-density lipoprotein cholesterol (LDL-C) levels and …

This study explored the potential of eXplainable Artificial Intelligence (XAI) in raising user
awareness of algorithmic bias. This study examined the popular “explanation by example” …

Human adoption of artificial intelligence (AI) technique is largely hampered because of the
increasing complexity and opacity of AI development. Explainable AI (XAI) techniques with …

Coronary diseases (CVD) are a major global health concern, and timely, accurate diagnosis
is crucial for effective treatment and management. As machine learning is, has steadily been …