rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Artificial intelligence in medicine
    sub title: from ethical, social, and legal perspectives
  name:
    name part: Sung, Joseph J. Y. (Joseph Jao Yiu)
    name part: 1959-
    role:
      role term: editor.
  name:
    name part: Stewart, Cameron
    name part: 1971-
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xii, 147 pages) : color illustrations
  abstract: "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.
  table of contents: 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.
  note: edited by Joseph J.Y. Sung, Cameron Stewart.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Artificial intelligence
    topic: Law and legislation
  subject:
    topic: Artificial intelligence
    topic: Moral and ethical aspects
  subject:
    topic: Intelligence artificielle
    topic: Applications en médecine
  subject:
    topic: Intelligence artificielle
    topic: Aspect moral
  classification: R859.7.A78 A786 2024
  classification: 610.285/63
  related item:
    title info:
      title: Artificial intelligence in medicine
    origin info:
      publisher: London, United Kingdom : Elsevier Academic Press, 2024
    identifier: (OCoLC)1393077677
  identifier: 9780323950695
  identifier: 0323950698
  identifier: 9780323950688
  identifier: 032395068X
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 240317
    record change date: 20260327175533.9
    record identifier: in00005772958
    language of cataloging:
      language term: eng