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The Evolution of Artificial Intelligence in Healthcare
Revolutionizing Medicine Through Machine Learning

Book Details
About this book:

The Evolution of Artificial Intelligence in Healthcare **Discover How Artificial Intelligence is Transforming Healthcare—Today**

The Evolution of Artificial Intelligence in Healthcare is your essential guide to understanding how AI is reshaping medicine, from diagnosing diseases with precision to accelerating breakthrough treatments. This comprehensive book navigates the intersection of technology and patient care, offering insights into machine learning, predictive analytics, and personalized medicine. Whether you’re a clinician, researcher, or policymaker, explore real-world case studies in oncology, cardiology, and neurology to see AI’s impact in action.

Beyond technical innovation, the book confronts the challenges of trust, ethics, and equity head-on. Learn how to implement AI workflows in hospitals, navigate complex regulatory landscapes, and ensure fairness in algorithmic decision-making. With accessible explanations of deep learning, NLP, and data integration, paired with actionable strategies for adoption, this book bridges the gap between cutting-edge research and practical application.

Join the revolution in modern medicine. The future of healthcare isn’t just automated—it’s augmented by AI, and this book equips you to lead the charge.

Table of Contents:
  • Introduction
  • Chapter 1 Foundations of AI in Medicine
  • Chapter 2 Historical Milestones: From Expert Systems to Deep Learning
  • Chapter 3 Machine Learning Basics for Clinicians
  • Chapter 4 Data Sources: Electronic Health Records and Beyond
  • Chapter 5 Medical Imaging and Computer Vision
  • Chapter 6 Natural Language Processing in Clinical Notes
  • Chapter 7 Predictive Analytics for Disease Risk
  • Chapter 8 AI-Driven Drug Discovery and Repurposing
  • Chapter 9 Personalized Medicine and Genomics
  • Chapter 10 Remote Patient Monitoring and Wearables
  • Chapter 11 AI in Surgical Planning and Robotics
  • Chapter 12 Clinical Decision Support Systems
  • Chapter 13 Ethical and Legal Considerations
  • Chapter 14 Bias, Fairness, and Transparency in Healthcare AI
  • Chapter 15 Regulatory Frameworks and FDA Approval Process
  • Chapter 16 Implementing AI Workflows in Hospitals
  • Chapter 17 Change Management and Clinician Adoption
  • Chapter 18 Evaluating AI Performance: Metrics and Validation
  • Chapter 19 Real-World Case Studies: Oncology
  • Chapter 20 Real-World Case Studies: Cardiology
  • Chapter 21 Real-World Case Studies: Neurology
  • Chapter 22 AI for Public Health and Epidemic Prediction
  • Chapter 23 Telehealth and Virtual Assistants Powered by AI
  • Chapter 24 Future Trends: Quantum Computing and AI
  • Chapter 25 Building a Sustainable AI-Enabled Healthcare Ecosystem
Extended Catalog title. This book is part of our extended catalog and is sourced after you order. Usually this process takes less than an hour to a few hours. We'll email you when your ebook is ready.
Author:

Ethan Wright

Published By:

MixCache.com Extended Catalog

Type:

Nonfiction

Date Published:

July 2, 2026

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