Modern Technologies in Healthcare
eBook - ePub

Modern Technologies in Healthcare

AI, Computer Vision, Robotics

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Modern Technologies in Healthcare

AI, Computer Vision, Robotics

About this book

This book comprehensively explores the latest technological advancements in healthcare, with a particular focus on the application of cutting-edge technologies, such as artificial intelligence (AI), computer vision, and robotics. The focus extends across crucial domains, such as disease diagnosis and monitoring, medical imaging, and the facilitation of remote healthcare services.

The book provides a comprehensive overview of AI techniques for intelligent diagnoses, discussing how machine learning and deep learning models enhance accuracy and speed in medical imaging, diagnostics, and patient care. It also delves into the integration of AI with other disciplines, such as data science, computer vision, edge computing, robotics, and web development, to tackle complex medical challenges. Moreover, it highlights current trends and future prospects in surgery, rehabilitation, neuroscience, and automated healthcare systems, offering valuable insights into the future of technology-driven healthcare solutions. The chapters are authored by researchers and professionals from every region of the globe, including Africa, Asia, the Americas, Europe, and Oceania. This global contribution highlights the versatility and broad perspectives of the shared insights and conclusions presented in the book.

This book is an essential guide for healthcare professionals, researchers, and enthusiasts eager to understand and actively contribute to shaping the future of healthcare through the integration of AI and other disciplines.

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Yes, you can access Modern Technologies in Healthcare by Temitope Emmanuel Komolafe,Patrice Monkam,Blessing Funmi Komolafe,Nizhuan Wang in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Series editor foreword
  8. List of contributors
  9. 1 A deep learning method for identification of pneumonia from chest X-rays
  10. 2 Recent development and applications of deep learning in medical imaging
  11. 3 How to incorporate prior knowledge for effective fMRI data analysis: A comprehensive review and future direction
  12. 4 AI applications in diagnostics and treatment
  13. 5 eHealth platforms facilitate breast cancer: A systematic review
  14. 6 Rehabilitation and assistive robotics for the elderly and physically challenged
  15. 7 Surgical robots for minimally invasive surgery
  16. 8 AI-aided tools for teaching and research in medical research
  17. 9 Decoding neural signals: Invasive BMI review
  18. 10 Real-time healthcare applications: Exploring the synergy of generative AI and edge computing/5G
  19. 11 HealthSyncc: An AI-powered mobile application for health management
  20. 12 Challenges and future trends in implementing AI in healthcare
  21. 13 The future of AI in healthcare: Opportunities and challenges
  22. Index