AI for Radiology
eBook - ePub

AI for Radiology

  1. 214 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

AI for Radiology

About this book

Artificial intelligence (AI) has revolutionized many areas of medicine and is increasingly being embraced. This book focuses on the integral role of AI in radiology, shedding light on how this technology can enhance patient care and streamline professional workflows.

This book reviews, explains, and contextualizes some of the most current, practical, and relevant developments in artificial intelligence and deep learning in radiology and medical image analysis. AI for Radiology presents a balanced viewpoint of the impact of AI in these fields, underscoring that AI technologies are not intended to replace radiologists but rather to augment their capabilities, freeing professionals to focus on more complex cases. This book guides readers from the basic principles of AI to their practical applications in radiology, moving from the role of data in AI to the ethical and regulatory considerations of using AI in radiology and concluding with a selection of resources for further exploration.

This book has been crafted with a diverse readership in mind. It is a valuable asset for medical professionals eager to stay up to date with AI developments, computer scientists curious about AI's clinical applications, and anyone interested in the intersection of healthcare and technology.

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Yes, you can access AI for Radiology by Oge Marques in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Dedication
  7. Contents
  8. Foreword
  9. Preface
  10. Acknowledgments
  11. 1 Artificial Intelligence and Medicine: The Big Picture
  12. 2 AI in Radiology: From Fear to Leadership
  13. 3 Fundamentals of Machine Learning and Deep Learning
  14. 4 Fundamentals of Medical Image Analysis
  15. 5 Data: The Essential Ingredient in AI Solutions
  16. 6 Clinical Applications of AI in Radiology
  17. 7 Harnessing AI in Radiology Education and Training
  18. 8 Getting Started with Deep Learning in Medical Imaging
  19. 9 The Future of AI in Radiology
  20. 10 Resources for Further Learning
  21. References
  22. Index