Neuroimaging and Biomarkers in AD Detection

Abstract

Alzheimer's disease is one of the neurocognitive disorders that causes dementia. The World Health Organisation reports that this disease has a major effect on the health of the world's population as well as the number of affected individuals rising yearly. In a period of quick technological advancement, artificial intelligence is gaining broad use in the field of medical diagnostics, including functions like drug research, customized treatment plan formulation, medical image analysis, and therapy. Deep learning has provided an important technical contribution to the early identification and management of Alzheimer's disease, which in turn is helping to resolve several health issues. In consideration of this, the purpose of this review is to examine how artificial intelligence tools and traditional methodologies differ in studies of Alzheimer's disease. Its objective is to provide assistance and direction for the future prognosis and treatment of the disease by highlighting the latest non-invasive and portable methods for Alzheimer's disease detection.