Affiliation:
1. Vels Institute of Science, Technology, and Advanced Studies, India
Abstract
This chapter examines the strategic management of AI-more desirable Alzheimer's disease prediction models. As AI generation keeps boosting, there's a growing use of AI in healthcare, in particular inside the early detection and prediction of Alzheimer's ailment. But those raise important ethical and regulatory worries as those fashions have the potential to affect patient care and lift questions about facts privateness and knowledgeable consent. This chapter explores the current kingdom of AI-advanced Alzheimer's disease prediction fashions, their capability benefits and dangers, and the moral and regulatory challenges they pose. It also gives tips for strategic control in this swiftly evolving panorama, including the want for obvious and moral practices, collaboration among stakeholders, and proactive engagement with regulatory bodies. With the aid of addressing these problems, we're able to make sure that AI-advanced Alzheimer's disorder prediction models are effectively included into healthcare even as upholding moral and regulatory standards.
Reference19 articles.
1. Precognition of mental health and neurogenerative disorders using AI-parsed text and sentiment analysis
2. Revolutionizing Enterprise Resource Planning (ERP) Systems through Artificial Intelligence.;M. V.Godbole;International Numeric Journal of Machine Learning and Robots,2023
3. . Hossain, K. A. (2023), Evaluation of technological breakthrough. Global education and future employment opportunity, 4, 1-62.
4. Multihoming Big Data Network Using Blockchain-Based Query Optimization Scheme
5. MuyenT. V.VaN. (Eds.). (2024). Using Traditional Design Methods to Enhance AI-Driven Decision Making. IGI Global.