Advances in Artificial Intelligence for Healthcare Applications
eBook - ePub

Advances in Artificial Intelligence for Healthcare Applications

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

Advances in Artificial Intelligence for Healthcare Applications

About this book

Advances in Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of artificial intelligence in the healthcare domain.

Features:

  • Discusses advanced concepts such as biomedical large language models, and natural language processing applications
  • Covers machine vision applications for robotics in healthcare, challenges, and trends in rehabilitation devices in healthcare, and robotic interactions and control for wearable devices
  • Presents the Internet of Things-based disease monitoring systems, Internet of nano-things for healthcare applications, and wearable Medical Internet of Things devices for accessible healthcare services
  • Explains the use of artificial intelligence in bone and brain imaging, molecular imaging using artificial intelligence, and medical image segmentation
  • Illustrates the importance of using generative artificial intelligence for clinical documentation, and medical imaging applications using generative artificial intelligence

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

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Yes, you can access Advances in Artificial Intelligence for Healthcare Applications by Anoop V.S,Suhasini Verma,Usharani Hareesh Govindarajan in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Engineering. 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. Preface
  8. Editors
  9. Contributors
  10. 1 Revolutionizing Healthcare: Exploring Roboticsā€™ Role and Impact in the Recent Years
  11. 2 Enhancing Healthcare Through Medical IoT: Current Trends and Future Directions
  12. 3 Exploring the Potential of Smart Healthcare Wearable Devices and Its Future: A Study on Consumer Adoption and Attitude
  13. 4 OralMedIE: Fine-tuning Biomedical Language Model for Clinical Information Extraction for Oral Medicine and Radiology
  14. 5 Generative AI for Healthcare Security: Addressing Privacy Challenges through Anomaly Detection in Healthcare Communications
  15. 6 Navigating the Ethereal: Ethical Frameworks in AI for Healthcare
  16. 7 Case Study on Explainable Artificial Intelligence in Healthcare Diagnostics
  17. 8 Robust CNN based on LIME for Glaucoma Classification
  18. 9 Tumor Detection and Classification of Oral Squamous Cell Carcinoma on Histopathological Images utilizing Personalized Transfer Learning Approaches
  19. 10 Artificial Intelligence (AI)-Enabled Diabetic Retinopathy Detection Techniques
  20. 11 Artificial Intelligence and Machine Learning in Radiology: Benefits, Drawbacks and Prospects
  21. 12 Unlocking Effective Applications of Artificial Intelligence for Healthcare Management Systems
  22. 13 Transformative Synergy: Revolutionizing Healthcare Accounting Information Systems with AI
  23. 14 Canadian Rural Medicare 2047: Envisioning Equal Access Through Digitalization
  24. 15 Revolutionizing Patient Access Through AI in Healthcare
  25. 16 Transformation of Insurance Sector in the Era of Artificial Intelligence
  26. 17 ā€œPrevention is Better Than Cureā€: Relevance of mHealth in Prevention Health Care Industry in India
  27. 18 AI in Medicine: Addressing Advancements, Personhood Status and Liability Concerns for AI-Related Errors
  28. 19 Adoption and Implementation Challenges of Artificial Intelligence in Healthcare Settings
  29. Index