Abstract Explainable Artificial Intelligence (XAI) encompasses the strategies and
methodologies used in constructing AI systems that enable end-users to comprehend and …

Alzheimer's Disease (AD) is becoming increasingly prevalent across the globe, and various
diagnostic and detection methods have been developed in recent years. Several techniques …

In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the
selection of appropriate computational models is critical for accurate diagnosis and patient …

Recently, machine learning (ML) and deep learning (DL) models based on artificial
intelligence (AI) have emerged as fast and reliable tools for predicting water quality index …

Alzheimer's disease (AD) is the general form of dementia, leading to a progressive
neurological disorder characterized by memory loss due to brain cell damage. Artificial …

Dementia is a degenerative disease that is increasingly prevalent in an aging society.
Alzheimer's disease (AD), the most common type of dementia, is best mitigated via early …

Alzheimer's Disease (AD) poses a significant health risk globally, particularly among the
elderly population. Recent studies underscore its prevalence, with over 50% of elderly …

Alzheimer's disease is a prevalent kind of syndrome; critical to diagnose in its early stages
causes the patient forgets everything in its later stages. In this work, we proposed a design …

Magnetic Resonance Imaging (MRI) is a critical imaging technique that provides detailed
visualization of internal structures without harmful radiation. This review focuses on key MRI …

The utilization of copper-based nanoparticles (NPs) for biomedical imaging has garnered
significant attention in recent years, offering promising avenues for enhanced diagnostic and …