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AI and IoT technology and applications for smart healthcare systems

Khang, Alex(Edited by)
Part of the Advances in Computational Collective Intelligence series
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In recent years, the application of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare has been increasing.

We are approaching a world where connected smart devices tell people when they need to visit a doctor because these devices will be able to detect health problems and discover symptoms of illness that may need medical care.

AI-collaborative IoT technologies can help medical professionals with decision-making.

These technologies can also help develop a sustainable and smart healthcare system. AI and IoT Technology and Applications for Smart Healthcare Systems helps readers understand complex scientific topics in a simple and accessible way.

It introduces the world of AI-collaborative IoT physics, explaining how this technology behaves at the smallest level and how this can revolutionize healthcare.

The book shows how IoT technology and AI can work together to make computers more powerful and capable of solving complex problems in the healthcare sector.

Exploring the effect of AI-collaborative technology on IoT technologies, the book discusses how IoT can benefit from AI algorithms to enable machines to learn, make decisions, and process information more efficiently. Because smart machines create more perceptive devices and systems, the application of this technology raises important ethical questions about privacy, security, and the responsible development of healthcare IoT technology, which this book covers.

The book also provides insight into the potential applications of these technologies not only in the healthcare industry but also in related fields, such as smart transportation, smart manufacturing, and smart cities.

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£120.00
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Published 15/05/2024
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Product Details
Taylor & Francis Ltd
1040021794 / 9781040021798
eBook
610.285
15/05/2024
United Kingdom
English
1 online resource (402 pages) : illustrations (black and white, and colour)
Description based on CIP data; resource not viewed.