Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

Alzheimer's disease (AD) is a brain-related disease in which the condition of the patient gets
worse with time. AD is not a curable disease by any medication. It is impossible to halt the …

Microbiome data predictive analysis within a machine learning (ML) workflow presents
numerous domain-specific challenges involving preprocessing, feature selection, predictive …

The early diagnosis of Alzheimer's disease (AD) presents a significant challenge due to the
subtle biomarker changes often overlooked. Machine learning (ML) models offer a …

Alzheimer's disease (AD) is a neurological illness that causes cognitive impairment and has
no known treatment. The premise for delivering timely therapy is the early diagnosis of AD …

This paper explores the effects of integrating Generative Artificial Intelligence (GAI) into
decision-making processes within organizations, employing a quasi-experimental pretest …

Abstract Explainable Artificial Intelligence refers to develo** artificial intelligence models
and systems that can provide clear, understandable, and transparent explanations for their …