http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
from ethical, social, and legal perspectives
1 online resource (xii, 147 pages) : color illustrations
"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. Key Features: 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."--Provided by publisher.
Artificial intelligence and the future of medicine / Joseph J.Y. Sung -- Data access, data bias, data equity / Dennis L. Shung and Loren Laine -- Respect for persons / Tamra Lysaght, Vicki Xafis, and Cameron Stewart -- Privacy and confidentiality / Stephen Kai Yi Wong -- Black box medicine / Irwin King, Helen Meng, and Thomas Y.T. Lam -- Clinical evidence / Kendall Ho, Sarah Park, Michael lai, and Simon Krakovsky -- Medical AI and tort liability / I. Glenn Cohen, Andrew Slottje, and Sara Gerke -- Regulation of AI in healthcare / Colin Gavaghan -- Health inequalities in AI machine learning / Roger Yat-Nork Chung and Ben Freedman -- Human-machine interaction : AI-assisted medicine, instead of AI-driven medicine / René F. Kizilcec, Dennis L. Shung, and Joseph J.Y. Sung.
edited by Joseph J.Y. Sung, Cameron Stewart.
Includes bibliographical references and index.
London, United Kingdom : Elsevier Academic Press, 2024