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Transforming Healthcare With AIoT: The Future of Diagnostics and Patient Care
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Author(s): Soumya G. D. (Presidency University, India), Bhuvaneshwari P. V. (Presidency University, India), R. Josephine (Presidency University, India)and Robin Rohit Vincent (Presidency University, India)
Copyright: 2025
Pages: 62
Source title:
Future Innovations in the Convergence of AI and Internet of Things in Medicine
Source Author(s)/Editor(s): Velliangiri Sarveshwaran (National Chung Cheng University, Taiwan), Karthikeyan Periyaswami (National Chung Cheng University, Taiwan)and Keping Yu (University of Hosei, Japan)
DOI: 10.4018/979-8-3693-7703-1.ch008
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Abstract
This chapter explores the transformative potential of integrating artificial intelligence (AI) and the internet of things (IoT) in the healthcare sector, collectively termed AIoT. It examines how AIoT enhances diagnostic accuracy, improves remote patient monitoring, and enables personalized healthcare. By combining IoT's real-time data collection capabilities with AI's analytical power, AIoT addresses limitations in traditional healthcare, such as delays in diagnosis and challenges in chronic disease management. Through case studies and advanced technologies, this chapter highlights the role of AIoT in fostering proactive, preventive care and emphasizes the importance of data privacy and ethical standards in deploying these systems. AIoT's role in creating a responsive, efficient, and patient-centered healthcare model is underscored, suggesting its continued growth in healthcare innovation.
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