Advancements in Alzheimer's Diagnosis

Author:

Tomar Vatsala1ORCID,Kumar Arvind2,Kate Vandana3,Kumar Sandeep4,Gottumukkala Prasanthi5

Affiliation:

1. IIMT University, India

2. Manav Rachna International Institute of Research and Studies, India

3. Acropolis Institute of Technology and Research, Indore, India

4. Meerut College, India

5. Gokaraju Rangaraju Institute of Engineering and Technology, India

Abstract

Alzheimer's disease is a regularly occurring and devastating neurodegenerative disorder that influences hundreds of thousands of people global. Early and accurate analysis is important for powerful control and remedy of this circumstance. AI-powered diagnostic tools and software have proven promising results in improving diagnostic accuracy, as well as supplying greater available and cost-powerful strategies for screening and tracking the disease. This comprehensive exploration will discuss the current kingdom of AI-powered diagnostic gear and software for Alzheimer's disorder, which includes their development, validation, and actual-international packages. We can also cope with the potential demanding situations and limitations of that gear and provide future potentialities for this swiftly evolving discipline. This evaluation aims to offer an intensive know-how of the modern improvements in Alzheimer's prognosis and the ability impact of AI in improving the management of this debilitating situation.

Publisher

IGI Global

Reference22 articles.

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3. Amir, A., Irbil, A., Jawed, F., Ashfaque, F., Hafsa, H., Anas, Z., & Mansoor, T. (2020). Exploring the current and prospective role of artificial intelligence in disease diagnosis. Annals of Medicine and Surgery, 10-1097.

4. Biosensors and their widespread impact on human health

5. A Machine Learning Framework for Accurate Prediction of Parkinson's Disease from Speech Data

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