Next-Frontier Medical Devices and Embedded Systems: Harnessing Biomedical Engineering, Artificial Intelligence, and Cloud-Powered Big Data Analytics for Smarter Healthcare Solutions
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https://doi.org/10.70593/978-93-49910-80-5
Keywords:
Biomedical Engineering, Smart Medical Devices, Healthcare, Health, Diagnosis, Edge Computing, CybersecuritySynopsis
The intersection of biomedical engineering, artificial intelligence, and cloud-powered big data analytics marks a pivotal moment in the evolution of modern healthcare. Next-Frontier Medical Devices and Embedded Systems: Harnessing Biomedical Engineering, Artificial Intelligence, and Cloud-Powered Big Data Analytics for Smarter Healthcare Solutions is a timely exploration into how these cutting-edge technologies are converging to transform patient care, medical diagnostics, and therapeutic delivery. In an age where real-time data, personalized treatment, and intelligent automation are becoming the norm, the role of smart medical devices and embedded systems has never been more critical. These innovations are not only enhancing the precision and efficiency of clinical operations but also bringing care closer to the patient—through wearable monitors, implantable sensors, and AI-enabled diagnostic tools that function seamlessly in both hospital and home environments.
This book is born out of the recognition that future-ready healthcare systems will rely heavily on adaptive, intelligent technologies that are both secure and scalable. Biomedical engineers, data scientists, clinicians, and healthcare technologists are now working in tandem to design solutions that are deeply integrated, data-driven, and focused on preventive and personalized care. The chapters herein reflect this collaboration—providing a multidisciplinary perspective on the design, deployment, and societal impact of next-generation medical systems. Whether you are a researcher, practitioner, policy leader, or student, this book offers critical insights into the challenges, breakthroughs, and ethical dimensions of embedding intelligence into healthcare hardware. From AI-driven surgical tools and diagnostic algorithms to cloud-enabled analytics and edge computing in critical care—this work offers a comprehensive guide to the technological shift redefining healthcare at its core.
We hope this book serves not only as a knowledge resource but also as an inspiration to those driving innovation at the frontier of medicine and technology.
Chapters
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Overview of medical and mechanical devices in modern healthcare systems
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Fundamentals of embedded systems for the design of smart medical equipment
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Architecting cloud-based infrastructures for medical device data
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Applying machine learning to enhance diagnostic accuracy and device functionality
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Utilizing artificial intelligence for biomedical signal and image processing applications
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Development of real-time monitoring solutions using embedded sensors and edge computing
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Big data techniques for analyzing patient data collected from medical devices
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Cybersecurity and data privacy challenges in networked medical technologies
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Standardization and interoperability of devices across healthcare ecosystems
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Enabling personalized and preventive healthcare through intelligent embedded systems
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Cross-disciplinary approaches to biomedical engineering and clinical collaboration
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Emerging trends and future directions in AI-driven smart medical device technologies
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Published
6 June 2025
Copyright (c) 2025 Sai Teja Nuka
Details about the available publication format: E-Book
E-Book
ISBN-13 (15)
978-93-49910-80-5
Details about the available publication format: Book (Paperback)
Book (Paperback)
ISBN-13 (15)
978-93-49910-56-0
How to Cite
Nuka, S. T. . (2025). Next-Frontier Medical Devices and Embedded Systems: Harnessing Biomedical Engineering, Artificial Intelligence, and Cloud-Powered Big Data Analytics for Smarter Healthcare Solutions. Deep Science Publishing. https://doi.org/10.70593/978-93-49910-80-5
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