Intelligent Techniques for Detection and Diagnosis of Neurodegenerative Diseases

Abstract

The benefits of AI, such as its ability to analyse vast data sets, identify meaningful patterns, make accurate predictions, and provide reliable recommendations have proven very efficient in early and precise diagnosis of various neurodegenerative diseases. The main aim is to emphasise the potential of machine learning and artificial intelligence to advance neurodegenerative disease evaluation and treatment planning. A brief description of the objectives and the methodologies used for the various intelligent techniques is clearly explained with suitable case studies. The study also demonstrates how AI, machine learning, signal processing, and computer-aided diagnostic technologies have the potential to assist physicians in making better clinical decisions. This proposal outlines a research paper that aims to investigate the different AI and ML techniques and algorithms that are employed in the early diagnosis of three different neurodegenerative diseases namely, Alzheimer's disease (AD), Parkinson's disease (PD), and Amyotrophic lateral sclerosis (ALS).