Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering
eBook - ePub

Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering

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

Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering

About this book

Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include:

  • Genome sequence and visualization
  • The role of AI and cloud in detection of diseases
  • Nature-inspired algorithms for disease detection
  • Frameworks for disease classification

With a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.

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Yes, you can access Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering by Madhusudhan H S,Punit Gupta,Pradeep Singh Rawat,Dinesh Kumar Saini in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Cloud Computing. 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. Editor Biographies
  7. Contributors
  8. Preface
  9. Acknowledgment
  10. Chapter 1 Artificial Intelligence and Computational Biology in Drug Discovery
  11. Chapter 2 Techniques of AI/ML for Genomics Visualization in Plants
  12. Chapter 3 Computing Architectures on the Cloud to Address Current Problems in Structural Bioinformatics
  13. Chapter 4 Application of AI for Disease Detection and Prevention
  14. Chapter 5 AI for Diseases Detection and Prevention
  15. Chapter 6 Machine Learning Techniques for Detecting Lung Cancer
  16. Chapter 7 A Review on AI Approaches for the Detection of Diabetic Retinopathy
  17. Chapter 8 Intelligent Applications for Medical Image Analysis
  18. Chapter 9 Machine Learning Integration with Biomedical Problems
  19. Chapter 10 Intelligent Tools and Techniques for Real-Life Diseases
  20. Chapter 11 Free Space Detection in Medical Image Analysis for Visually Impaired Using Histogram Equalization and Adaptive Region Growing
  21. Index