
About the Book
Gain a comprehensive, in-depth understanding of AI’s transformative role in healthcare with this expanded paperback edition. Beyond exploring core AI applications like explainable AI and emotional AI, this version provides critical insights into regulatory compliance, safety, and ethical considerations in healthcare.
It culminates in a detailed Healthcare BDAC/AIC Deployment Proposal, offering a practical blueprint for implementing robust, secure, and compliant smart healthcare systems. All research and references within the text adhere to APA citation standards, ensuring a foundation of professional and academic rigor.
Target Audience & Prerequisites
This book is ideal for a more advanced audience that needs to not only understand AI in healthcare but also the practical challenges of deployment. It is especially well-suited for:
- Healthcare Executives and Technology Leaders: Professionals who are responsible for strategic planning, compliance, and risk management of AI systems.
- Data Scientists and Engineers: Individuals who need to understand the full lifecycle of a healthcare AI project, from initial design to regulatory and ethical considerations.
- Researchers and Consultants: Anyone focused on the practical implementation of AI in regulated industries.
A foundational understanding of data science and AI concepts is recommended.
Full Table of Contents
- Chapter 1
- Industry 4.0: Healthcare and Biomedical AI
- XAI for Diabetes Patient Care
- Chapter 2
- Deploying Artificial Intelligence
- Caveats
- Chapter 3
- Emotional Artificial Intelligence
- Augmenting Intelligence
- Chapter 4
- Precision Medicine, AI, and Bioinformatics
- Chapter 5
- Regulatory Compliance, Safety and Ethics
- Chapter 6
- Healthcare BDAC/AIC Deployment Proposal
- Key Business Objectives
- Network Architecture
- Database Recommendation
- Security Priorities
- Disaster Recovery (DR) Strategy
- Internet of Healthcare Things, Digital Twins, and Fraud
- References
From the Author
The promise of AI in healthcare is immense, but its deployment is not without complexity. As data professionals, our responsibility extends far beyond building a great model; we must also ensure our systems are safe, compliant, and ethical. I expanded this paperback edition to address those critical, real-world concerns. My goal with this version is to provide a complete guide that empowers you to not only build intelligent systems but to confidently and responsibly deploy them in a way that builds trust and drives genuine, positive outcomes for patients and organizations alike.
Get Your Copy Today
Gain the complete strategic and technical blueprint for deploying smart, compliant, and secure AI systems in healthcare.
