Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

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 a pressing global issue, demanding effective diagnostic
approaches. This systematic review surveys the recent literature (2018 onwards) to …

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 …

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most
common cause of Dementia. Neuroimaging analyses, such as T1 weighted magnetic …

Alzheimer's disease (AD) is the leading neurodegenerative disorder and primary cause of
dementia. Researchers are increasingly drawn to automated diagnosis of AD using …

Alzheimer's disease (AD) is an old-age disease that comes in different stages and directly
affects the different regions of the brain. The research into the detection of AD and its stages …

The timely identification of significant memory concern (SMC) is crucial for proactive
cognitive health management, especially in an aging population. Detecting SMC early …

Artificial intelligence (AI)-based diagnostic systems provide less error-prone and safer
support to clinicians, enhancing the medical decision-making process. This study presents a …

Positron emission tomography (PET) with fluorodeoxyglucose (FDG) or florbetapir (AV45)
has been proved effective in the diagnosis of Alzheimer's disease. However, the expensive …