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Edge-AI in Healthcare

2023-07-31 Computers
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Release : 2023-07-31
Genre : Computers
Kind : eBook
Book Rating : 310/5 ( reviews)

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Book Synopsis Edge-AI in Healthcare by : Sonali Vyas

Download or read book Edge-AI in Healthcare written by Sonali Vyas. This book was released on 2023-07-31. Available in PDF, EPUB and Kindle. Book excerpt: The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data. Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare. This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications.

Edge-AI in Healthcare

2023
Download Edge-AI in Healthcare PDF Online Free

Author :
Release : 2023
Genre :
Kind : eBook
Book Rating : 480/5 ( reviews)

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Book Synopsis Edge-AI in Healthcare by : Vinod Kumar Shukla

Download or read book Edge-AI in Healthcare written by Vinod Kumar Shukla. This book was released on 2023. Available in PDF, EPUB and Kindle. Book excerpt: The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data. Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare. This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications.

Reconnoitering the Landscape of Edge Intelligence in Healthcare

2024-04-23 Computers
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Release : 2024-04-23
Genre : Computers
Kind : eBook
Book Rating : 932/5 ( reviews)

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Book Synopsis Reconnoitering the Landscape of Edge Intelligence in Healthcare by : Suneeta Satpathy

Download or read book Reconnoitering the Landscape of Edge Intelligence in Healthcare written by Suneeta Satpathy. This book was released on 2024-04-23. Available in PDF, EPUB and Kindle. Book excerpt: The revolution in healthcare as well as demand for efficient real-time healthcare services are driving the progression of edge computing, AI-mediated techniques, deep learning, and IoT applications for healthcare industries and cloud computing. Edge computing helps to meet the demand for newer and more sophisticated healthcare systems that are more personalized and that match the speed of modern life. With applications of edge computing, automated intelligence and intuitions are incorporated into existing healthcare analysis tools for identifying, forecasting, and preventing high-risk diseases. Reconnoitering the Landscape of Edge Intelligence in Healthcare provides comprehensive research on edge intelligence technology with the emphasis on application in the healthcare industry. It covers all the various areas of edge intelligence for data analysis in healthcare, looking at the emerging technologies such as AI-based techniques, machine learning, IoT, cloud computing, and deep learning with illustrations of the design, implementation, and management of smart and intelligent healthcare systems. Chapters showcase the advantages and highlights of the adoption of the intelligent edge models toward smart healthcare infrastructure. The book also addresses the increased need for a high level of medical data security while transferring real-time data to cloud-based architecture, a matter of prime concern for both patient and doctor. Topics include edge intelligence for wearable sensor technologies and their applications for health monitoring, the various edge computing techniques for disease prediction, e-health services and e-security solutions through IoT devices that aim to improve the quality of care for transgender patients, smart technology in ambient assisted living, the role of edge intelligence in limiting virus spread during pandemics, neuroscience in decoding and analysis of visual perception from the neural patterns and visual image reconstruction, and more. The technology addressed include energy aware cross-layer routing protocol (ECRP), OMKELM-IDS technique, graphical user interface (GUI), IOST (an ultra-fast, decentralized blockchain platform), etc. This volume will be helpful to engineering students, research scholars, and manufacturing industry professionals in the fields of engineering applications initiatives on AI, machine learning, and deep learning techniques for edge computing.

Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

2021-07-15 Computers
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Release : 2021-07-15
Genre : Computers
Kind : eBook
Book Rating : 813/5 ( reviews)

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Book Synopsis Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences by : Pradip Debnath

Download or read book Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences written by Pradip Debnath. This book was released on 2021-07-15. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.

Integrating AI in IoT Analytics on the Cloud for Healthcare Applications

2022-01-07 Computers
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Release : 2022-01-07
Genre : Computers
Kind : eBook
Book Rating : 348/5 ( reviews)

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Book Synopsis Integrating AI in IoT Analytics on the Cloud for Healthcare Applications by : Jeya Mala, D.

Download or read book Integrating AI in IoT Analytics on the Cloud for Healthcare Applications written by Jeya Mala, D.. This book was released on 2022-01-07. Available in PDF, EPUB and Kindle. Book excerpt: Internet of things (IoT) applications employed for healthcare generate a huge amount of data that needs to be analyzed to produce the expected reports. To accomplish this task, a cloud-based analytical solution is ideal in order to generate faster reports in comparison to the traditional way. Given the current state of the world in which every day IoT devices are developed to provide healthcare solutions, it is essential to consider the mechanisms used to collect and analyze the data to provide thorough reports. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students.

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