Devi, Brindha and Thaiyalnayaki, M. and Vasantha, S. (2024) Strategic Management of AI-Enhanced Alzheimer's Disease Prediction Models: Navigating Ethical and Regulatory Frontiers. In: AI-Driven Alzheimer's Disease Detection and Prediction. IGI Global, pp. 131-146.
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Brindha Devi Vels Institute of Science, Technology, and Advanced Studies, India M. Thaiyalnayaki Vels Institute of Science, Technology, and Advanced Studies, India S. Vasantha Vels Institute of Science, Technology, and Advanced Studies, India Strategic Management of AI-Enhanced Alzheimer's Disease Prediction Models Navigating Ethical and Regulatory Frontiers
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.
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Item Type: | Book Section |
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Subjects: | Computer Science Engineering > Artificial Intelligence |
Domains: | Commerce |
Depositing User: | Mr IR Admin |
Date Deposited: | 22 Aug 2025 06:40 |
Last Modified: | 22 Aug 2025 06:40 |
URI: | https://ir.vistas.ac.in/id/eprint/10535 |