Artificial Intelligence in Medicine and Healthcare
eBook - ePub

Artificial Intelligence in Medicine and Healthcare

  1. 264 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence in Medicine and Healthcare

About this book

This book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data. It further highlights the importance of 5G and 6G communication for telemedicine applications and applications of machine learning and deep learning in pandemic epidemiology.

This book:

  • Discusses artificial intelligence-inspired Internet of Things-based solutions, and machine learning modeling for smart healthcare
  • Explains the use of computer vision, natural language processing in healthcare, and artificial intelligence in clinical decision-making
  • Illustrates the role of artificial intelligence in telemedicine applications
  • Examines medical image analysis using machine learning, and deep learning techniques

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including computer science and engineering, electronics and communications engineering, and biomedical engineering.

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Yes, you can access Artificial Intelligence in Medicine and Healthcare by Ajay Kumar,Sangeeta Rani,Sarita Rathee,Naveen Hemrajani,Mamta Dahiya 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. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. About the editors
  8. List of contributors
  9. Acknowledgments
  10. 1 Deep learning based on an intelligent approach for the pharmaceutical drug discovery and classification using fine-tuned MobileNet and Adamax optimizer
  11. 2 Artificial intelligence in improving disease diagnosis: Cardiovascular disease prediction: A case study
  12. 3 Medical image-based pulmonary disease prediction using biogeographical optimization
  13. 4 Tomato plant disease detection with pretrained CNNs: Performance assessment and visual presentation: The review
  14. 5 Detection of liver cirrhosis using fuzzy expert system
  15. 6 An extensive survey on citrus plant disease detection using image processing and deep learning
  16. 7 Predicting diabetes using hybrid approach of KNN, random forest machine learning algorithms
  17. 8 Transforming healthcare through advanced federated learning: Privacy, performance, and collaboration
  18. 9 Application of artificial intelligence in breast cancer diagnostics: A review
  19. 10 An enhanced approach of domain adaptation-based sentiment analysis using deep transfer learning
  20. Index