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
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Editor/Author Biographies
Alex Khang P.H ., Professor in Information Technology, D.Sc., D.Litt., Universities and Institutions of Science and Technology in Vietnam, India and United States; AI and Data Scientist, Department of R&D AI and Data Science, Global Research Institute of Technology and Engineering, North Carolina, United States
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