ARTIFICIAL INTELLIGENCE IN ALZHEIMER’S DISEASE DIAGNOSIS

Abstract

Alzheimer’s disease is a vast form of dementia,It is also known as senile dementia, It is a growing condition which leads to losing of memory and complexity to perform routine tasks. Treating this disease in last stages is very challenging, as in early stages certain medicines do work. Many researches have been took place to differentiate the stages for earlier diagnosis, and new methods and techniques to disease diagnosis have been found out. Here            using Artificial intelligence as well as machine learning models for the purpose of diagnosing the disease. Artificial intelligence (AI)                  holds              good                            to identifying Alzheimer’s disease related structural changes in brain scan images. This disease occurs due to Glymphatic System is the main means of eliminating waste substances in the central nervous system; if it does                                   not       work                properly,                      waste substances accumulate in CNS until to cause Alzheimer’s disease. Artificial Intelligence has generated a transformative tool in medical diagnosis, offering innovative approaches to improvise the detection and        monitoring       of        Alzheimer’s.                This                 paper utilizes how AI/ML algorithms are used and the performance                               comparison

of         it.                                 Also                by, specifying the datasets and discussing limitations and                highlighting                             explainability               and      ethical considerations to adapt clinically.