ARTIFICIAL INTELLIGENCE IN ALZHEIMER'S DISEASE DIAGNOSIS

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 research 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.