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.
1. Artificial Intelligence in Medicine - p. i 2. Cover - p. i 3. Title Page - p. i 4. Copyright - p. iv 5. Table of Contents - p. iv 6. Contributors - p. ix 7. Preface - p. xi 8. Chapter 1 Artificial intelligence and the future of medicine - p. 1 9. Chapter 2 Data access, data bias, data equity - p. 13 10. Chapter 3 Respect for persons - p. 27 11. Chapter 4 Privacy and confidentiality - p. 45 12. Chapter 5 Black box medicine - p. 59 13. Chapter 6 Clinical evidence - p. 71 14. Chapter 7 Medical AI and tort liability - p. 89 15. Chapter 8 Regulation of AI in healthcare - p. 105 16. Chapter 9 Health inequalities in AI machine learning - p. 119 17. Chapter 10 Human-machine interaction: AI-assisted medicine, instead of AI-driven medicine - p. 131 18. Index - p. 141
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.
1. Artificial Intelligence in Medicine - p. i 2. Cover - p. i 3. Title Page - p. i 4. Copyright - p. iv 5. Table of Contents - p. iv 6. Contributors - p. ix 7. Preface - p. xi 8. Chapter 1 Artificial intelligence and the future of medicine - p. 1 9. Chapter 2 Data access, data bias, data equity - p. 13 10. Chapter 3 Respect for persons - p. 27 11. Chapter 4 Privacy and confidentiality - p. 45 12. Chapter 5 Black box medicine - p. 59 13. Chapter 6 Clinical evidence - p. 71 14. Chapter 7 Medical AI and tort liability - p. 89 15. Chapter 8 Regulation of AI in healthcare - p. 105 16. Chapter 9 Health inequalities in AI machine learning - p. 119 17. Chapter 10 Human-machine interaction: AI-assisted medicine, instead of AI-driven medicine - p. 131 18. Index - p. 141
