AI and IoT-Based Technologies for Precision Medicine

AI and IoT-Based Technologies for Precision Medicine

Release Date: October, 2023|Copyright: © 2023 |Pages: 562
DOI: 10.4018/979-8-3693-0876-9
ISBN13: 9798369308769|EISBN13: 9798369308776
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Description & Coverage
Description:

In the dynamic landscape of post covid-19 healthcare, the demand for smart healthcare solutions and precision medicine systems has become paramount. Addressing these pressing challenges, AI and IoT-Based Technologies for Precision Medicine emerges as a comprehensive book, equipping doctors, scholars, researchers, engineers, and students with the knowledge and tools to leverage AI solutions and IoT-based technologies in healthcare services. From predictive disease analysis to informed decision-making, the book presents advanced methodologies and models that elevate the precision medicine ecosystem.

Within the pages of this book, readers will be given the opportunity to gain a profound understanding of the prospects and challenges arising from AI-powered applications and IoT-equipped techniques in smart healthcare. Bridging the gap between theory and practice, the book explores fundamental concepts, real-time supporting systems, and human-like robotics, propelling the high-tech medical industry toward transformative advancements. By addressing machine learning, deep learning, computer vision in medicine, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology application, the book empowers healthcare professionals to pioneer innovative solutions and drive efficiency, accuracy, and security in medical practices.

AI and IoT-Based Technologies for Precision Medicine serve as an authoritative guide, fostering collaboration and knowledge sharing among healthcare scholars and professionals. Embrace this indispensable resource to harness the full potential of AI and IoT, revolutionizing medical practices, bolstering healthcare services, and propelling the smart healthcare revolution forward. With this book in hand, readers can navigate the ever-changing landscape of high-tech medicine, making informed strides toward a cutting-edge and precise medical ecosystem.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Biotechnology
  • Computer Vision
  • Deep Learning
  • Healthcare Data Analytics
  • High-Tech Medicine
  • Internet of Things
  • Machine Learning
  • Precision Medicine
  • Predictive Analysis
  • Robotics
  • Smart Healthcare
  • Sustainable Medical Development
  • Technological Advancements
  • Virtual Reality
Reviews & Statements

AI and Healthcare IoT are integrated high-tech platforms that are easy to use and specifically designed for healthcare ecosystem where doctors and nurses want to get better assistants. In Precision Medicine, innovation and opportunity go hand in hand, and with AI and IoT-Based Technologies, the doctor can take full control of disease prediction of patients. An AI-assisted IoT platform serves as an assistant to the AI-driven healthcare revolution, allowing doctors to transform disease predictions forever, regardless of whether you’re experienced or new to this AI and IoT-based technologies. If you’re interested in finding out more about AI and IoT-Based Technologies and how it can help you make your mark in the healthcare world, keep reading this book. You’ll learn everything you need to know about the application of AI and IoT in Precision Medicine system.

– Alex Khang, Professor in Information Technology, Global Research Institute of Technology and Engineering, North Carolina, United States
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Editor/Author Biographies
Alex Khang, is a Professor in Information Technology, D.Sc. D.Litt., AI and data scientist, Software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. ORCID: 0000-0001-8379-4659 He has more than 28 years of teaching and research experience in information technology at the universities and institutes of information technology in Vietnam, India, and United States. He has published 74 documents indexed by Scopus, 52 authored books, 3 authored books (software development), and authored/co-authored 10 papers, 50 book chapters. He has published 15 edited books, and calling for book chapters for 15 edited books in the fields of AI ecosystem. He has over 30 years of working experience as a software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the United States, Singapore, and multinationals (former CEO, former CTO, former Engineering Director, Product Manager, Senior Software Production Consultant, Data Product Manager). He has been the chair session for 25 conferences, keynote speaker for more than 25 international conclaves; an expert tech speaker for 100 over seminars and webinars; an international technical board member for 10 international organizations; an editorial board member for more than 5 ISSNs; an international reviewer and evaluator for more than 100 journal papers; an international examiner and evaluator for more than 15 Ph.D. thesis in computer science field. He has been contributing to various research activities in fields of AI and data science while publishing many international articles in renowned journals and conference proceedings.
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