Description
Although AI is opening new and exciting opportunities in healthcare, implementation still faces challenges. Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives provides answers on how to improve acceptance and diminish the anxiety of the use of AI-assisted medicine. Through a series of social, ethical, and legal discussions from clinicians, social scientists, ethicists, and legal experts this important reference has coverage that includes good data custodianship and stewardship; data access, data bias, data & healthcare equity; privacy and confidentiality; algorithmic understanding; and regulatory guidance, accountability, and legal responsibility. This reference will explain to healthcare providers how AI will enhance healthcare, will introduce to scientists and researchers the ethical and social aspect of AI that needs to be addressed, and will urge policymakers and health authorities to consider the legal framework needed to implement AI technology in healthcare.- Discusses the issues that must be addressed to improve acceptance and diminish the anxiety and lack of trust surrounding the care of human health by machines- Examines the delicate issues surrounding the use of AI in making life-and-death decisions- Sets the framework of social, ethical, and legal aspects of healthcare for the future
Table of Contents
1. Artificial Intelligence is the future Medicine?2. What is needed for Artificial Intelligence to be successfully implemented in Medicine?3. Data Access, Data Bias, Data Equity4. Data Custodian and Data Stewardship5. Respect and Dignity6. Privacy and Confidentiality7. Algorithmic Understanding8. Algorithmic Adversarial Attacks9. Accountability and Legal Responsibility10. Regulatory Guidance for AI Devices11. Equity of Healthcare12. AI-assisted Medicine or AI-driven Medicine
