Abstract

A BRIEF REVIEW ON ALZHEIMER’S DISEASE AND UTILIZATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES AS AN AID TO EARLY DIAGNOSIS

Gokul Kumaran*, Santhosh Narayanan, Snekha Murugan, Mythili Krishnamurthy

Abstract

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder characterized by irreversible loss of neurons, majorly affecting the elder population. It is one of the contributing factors to Dementia. According to World Health Organization (WHO), Alzheimer’s disease has a significant impact on global population’s health. Unfortunately, there is no effective curative treatment to reverse AD at present due to Irreversible brain atrophy. There an early and accurate diagnosis of Alzheimer’s disease is crucial for improving measures can be taken in advance to delay the onset time of the disease and retard its progression. Artificial Intelligence is a branch of science that can analyze complex data and allow machines to work efficiently. The role of AI in healthcare service and pharmaceutical research has increased tremendously. In this review, application of different techniques of AI in the diagnosis of AD were discussed, to find out the best technique that could offer better performance. Machine learning and deep learning were the most used AI techniques, playing a key role in solving several medical challenges by providing important technical support for the early detection, diagnosis and treatment of AD. ML has gained attraction in the medical field as a means of determining a person’s risk of developing AD in its early stages. One of the most advanced soft computing neural-network (CNN) based deep- learning methodologies has been emerged as the most promising technology. And this work concludes by highlighting the key techniques utilized for the effective diagnosis of AD.

Keywords: Artificial intelligence, Alzheimer’s disease, Neurodegenerative disorder, Machine learning, Deep learning, Computing neural network.