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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 the explainability and accountability of AI models, and the implementation of safety protocols to detect and prevent AI failures. The book also discusses the evolving regulatory view that shapes AI adoption and how privacy-preserving technologies can enable safer data sharing across institutions. In highlighting both current challenges and future directions, the book makes a meaningful contribution to the safe, responsible, and trustworthy integration of AI in healthcare systems. This is an illuminating read for researchers, practitioners, policymakers, and healthcare providers interested in acquiring the knowledge needed to harness AI's potential while safeguarding human health and well-being.
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.
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
