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