1st Edition
AI Safety in Healthcare Systems Resilience, Transparency, and Accountability
230 Pages
24 B/W Illustrations
by
Chapman & Hall
230 Pages
24 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
This book provides an in-depth exploration of AI safety in healthcare. It bridges the gap between technical innovation and patient protection. It examines emerging methodologies for risk management, transparency, and robust AI system design used specifically in medical applications.
Readers will gain insights into the ethical considerations that surround AI deployment, techniques for improving... Read more
1. Introduction to AI Safety in Healthcare Systems
2. Ethical and Legal Considerations in AI Safety
3. Data Privacy and Security in AI-Enabled Healthcare
4. Risk Management and Safety Protocols for AI Systems
5. AI Model Transparency in Healthcare
6. Detection and Prevention of AI Failures and Anomalies
7. Patient Safety in AI-Driven Healthcare
8. Future Directions and Challenges in AI Safety for Healthcare
Biography
Azadeh Zamanifar, Head of AI/IT Department, Science and research branch, Islamic Azad University, Tehran, Iran. Amir Taherkordi, Professor of Computer Science, University of Oslo, Norway. Amirfarhad Farhadi, Postdoctoral Fellow, Iran University of Science and Technology, Tehran, Iran.
