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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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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Author : Sai Teja Nuka
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-06
Next Frontier Medical Devices And Embedded Systems Harnessing Biomedical Engineering Artificial Intelligence And Cloud Powered Big Data Analytics For Smarter Healthcare Solutions written by Sai Teja Nuka and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Technology & Engineering categories.
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.
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-10
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications written by Jayesh Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.
At a time when artificial intelligence (AI) and machine learning (ML) are used to make sensitive societal decisions such as the ones related to criminal justice, healthcare, finance, education, employment, algorithmic fairness and bias mitigation are among the most important but challenging issues at hand. The goal of this book is to provide a holistic view across various disciplines of the ethical base, detection methods, and technical measures for trustworthy AI systems. Starting from a solid foundation of statistical bias, transparency systems and fairness-aware ML models, this book methodically looks at state-of-the-art methodologies, where we highlight their shortcomings and introduce a unified model framework for detecting bias and transparent algorithms. Moving beyond technical diagnoses, it examines key sociotechnical and policy tools that are required to implement AI responsibly, providing guidance to researchers, engineers, policy makers, and organizational leaders. Literature review has been driven following the experimental case, the fairness trade-offs, intersectional bias, explainability and regulatory compliance are discussed in depth by the authors. This work underscores that fairness in automated decision-making systems depends not only on algorithmic accuracy, but also institutional will and stakeholder engagement. The chapters in this book function as both an academic primer and a resourceful handbook, transitioning readers through an ever-growing ethical AI terrain. Whether you are a data scientist building and deploying an algorithm that encourages ethical speech, or a regulator working to create and refine guidelines around such algorithms, this book provides you with both the tools and the understanding you need for ethical technology development and deployment.
Cognitive Artificial Intelligence For Health And Climate Deep Models Interpretability And Decision Support
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Author : Samit Shivadekar
language : en
Publisher: Deep Science Publishing
Release Date : 2025-08-04
Cognitive Artificial Intelligence For Health And Climate Deep Models Interpretability And Decision Support written by Samit Shivadekar and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-04 with Computers categories.
The intersection of health, climate, and artificial intelligence represents both a challenge and an opportunity. This book explores how Cognitive AI — combining deep learning, reasoning, and interpretability — can address pressing issues in healthcare and climate science while supporting trustworthy, informed decision-making. Focusing on deep models, explainable AI, and decision-support frameworks, we examine methods that go beyond automation to enable human–AI collaboration in complex, high-stakes environments. Through research insights and real-world case studies, the book bridges theory and practice for researchers, practitioners, and decision-makers seeking resilient and transparent AI solutions. It is my hope that this work inspires the development of AI systems that are as trustworthy as they are innovative, serving society’s urgent needs with clarity, fairness, and resilience. In writing this book, I have drawn on my own experiences in research, teaching, and collaboration across disciplines, as well as the invaluable contributions of the AI, health, and climate research communities. I am grateful to colleagues, students, and partners whose insights have shaped the ideas presented here. May this work inspire continued exploration into AI systems that serve humanity’s most urgent needs — and do so with clarity, fairness, and resilience.
The Artificial Intelligence And Machine Learning Blueprint Foundations Frameworks And Real World Applications
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Author : Priyambada Swain
language : en
Publisher: Deep Science Publishing
Release Date : 2025-08-06
The Artificial Intelligence And Machine Learning Blueprint Foundations Frameworks And Real World Applications written by Priyambada Swain and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.
In the current era of data-centric transformation, Artificial Intelligence (AI) and Machine Learning (ML) are influencing organizational strategies and operations. The AI and Machine Learning Blueprint serves as a guide connecting academic concepts with industry applications. It is intended for both students seeking basic knowledge and professionals interested in deploying scalable AI systems. The book covers core mathematical principles relevant to AI, including linear algebra, probability, statistics, and optimization, and provides an overview of classical machine learning algorithms, neural networks, and reinforcement learning. Concepts are illustrated with practical examples, Python code, and case studies from sectors such as healthcare, finance, cybersecurity, natural language processing, and computer vision. Operational considerations are also addressed, with chapters on MLOps, model deployment, explainable AI (XAI), and ethics. The text concludes with information on emerging topics including generative AI, federated learning, and artificial general intelligence (AGI). With a blend of theoretical depth and practical relevance, this book is an essential blueprint for mastering AI and ML in today’s intelligent systems landscape.
Intelligent Medical And Mechanical Systems Ai And Data Technologies In Device Innovation
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Author : SAI TEJA NUKA
language : en
Publisher: GLOBAL PEN PRESS UK
Release Date :
Intelligent Medical And Mechanical Systems Ai And Data Technologies In Device Innovation written by SAI TEJA NUKA and has been published by GLOBAL PEN PRESS UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Innovative Smart Healthcare And Bio Medical Systems
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Author : Abdel-Badeeh Salem
language : en
Publisher: CRC Press
Release Date : 2020-12-27
Innovative Smart Healthcare And Bio Medical Systems written by Abdel-Badeeh Salem and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-27 with Computers categories.
Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too. SHS bring together concepts and methodologies from various fields, such as communications and network systems, computer science, life sciences and healthcare. The well-known smart healthcare paradigms are; real-time monitoring devices, computer-aided surgery devices, telemedicine devices, population-based care devices, personalized medicine from a machine learning perspective, ubiquities intelligent computing, expert decision support systems, Health 2.0 and Internet of Things (IoT). This book presents models for the deployment of intelligent computing, information, and networking technologies to aid in preventing disease, improving the quality of care and lowering overall cost. It also discusses the potential role of the AI paradigms, computational intelligence and machine learning techniques which are used in developing the SHS. It will provide examples of potential usage of such technology in smart healthcare and and bio-medical systems. It will be an important read for researchers and professionals working in smart healthcare systems, as well as those working in the individual areas of networks, artificial intelligence and healthcare who want to see how an interdisciplinary approach can enhance the current technology.
Smart Distributed Embedded Systems For Healthcare Applications
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Author : Preeti Nagrath
language : en
Publisher: CRC Press
Release Date : 2023-04-21
Smart Distributed Embedded Systems For Healthcare Applications written by Preeti Nagrath and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-21 with Computers categories.
This book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in the human body, which would ultimately lead to early diagnosis and better treatment and cure of diseases with the help of distributed technology. Covers the implementation models using technologies such as artificial intelligence, machine learning, and deep learning with distributed systems for better diagnosis and treatment of diseases. Gives in-depth review of technological advancements like advanced sensing technologies such as plasmonic sensors, usage of RFIDs, and electronic diagnostic tools in the field of healthcare engineering. Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders. Highlights the future challenges and risks involved in the application of smart technologies such as cloud computing, fog computing, IOT, and distributed computing in healthcare. Confers to utilize the AI and ML and associated aids in healthcare sectors in the post-Covid 19 period to revitalize the medical setup. Contributions included in the book will motivate technological developers and researchers to develop new algorithms and protocols in the healthcare field. It will serve as a vast platform for gaining knowledge regarding healthcare delivery, health- care management, healthcare in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical fields.
Ai And Iot Based Technologies For Precision Medicine
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2023-10-18
Ai And Iot Based Technologies For Precision Medicine written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-18 with Medical categories.
In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.
Convergence Of Intelligent Biomedical Systems And Smart Mechanical Engineering In Modern Healthcare Technology
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Author : Sai Teja Nuka
language : en
Publisher: AQUA PUBLICATIONS
Release Date :
Convergence Of Intelligent Biomedical Systems And Smart Mechanical Engineering In Modern Healthcare Technology written by Sai Teja Nuka and has been published by AQUA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.
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Internet Of Things And Big Data Technologies For Next Generation Healthcare
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Author : Chintan Bhatt
language : en
Publisher: Springer
Release Date : 2017-01-01
Internet Of Things And Big Data Technologies For Next Generation Healthcare written by Chintan Bhatt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-01 with Technology & Engineering categories.
This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.