AI neurotechnology compatibility with Alzheimers Disease Treatment: A Review

Abstract

Alzheimers Disease (AD) is one of the most ordinary kind of dementia, yet no definitive cause or cure for it is found. Currently, there are only developments in drugs or technology that can slowly help to minimize the symptoms of AD through treatment or aid in the diagnosis of this disease. The main problem is that the treatment and diagnosis of AD administered through medical professionals are prone to errors. This has created a need for methods that make the process of diagnosing AD and concluding the most effective treatment both efficient and highly accurate. This brings focus to studies in AD, more specifically neurotechnology that uses Artificial Intelligence (AI) to aid in diagnosis and process of treatment. AI has the potential to diagnose and can even work hand in hand with different AD treatments, as it is expected to analyze the best approach for individual patients for course of treatment which could lead to the cure of Alzheimers. Studies on Neurotechnologies that use AI, such as systems like Machine Learning, Deep Learning, and have yielded promising results of the potential accuracy of these systems, proving its ability to diagnose AD with high accuracy while being more efficient. With the wide variety of potential treatments of AD, it is in these situations where AI neuro technology can play a role in the deciding factor of treatment. This paper will be a comparison on these diverse types of AI systems, and which may be the best in terms of diagnosis and treatment of AD.