Artificial intelligence in medicine: from ethical, social, and legal perspectives

Table of content:
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 Equity

4. Data Custodian and Data Stewardship

5. Respect and Dignity

6. Privacy and Confidentiality

7. Algorithmic Understanding

8. Algorithmic Adversarial Attacks

9. Accountability and Legal Responsibility

10. Regulatory Guidance for AI Devices11. Equity of Healthcare

12. AI-assisted Medicine or AI-driven Medicine

[https://shop.elsevier.com/books/artificial-intelligence-in-medicine/sung/978-0-323-95068-8]

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.

(https://shop.elsevier.com/books/artificial-intelligence-in-medicine/sung/978-0-323-95068-8)