TY - BOOK
T1 - Ethics of medical AI
AU - Rubeis, Giovanni
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies transform practices, relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as well as undergraduate university courses.
AB - This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies transform practices, relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as well as undergraduate university courses.
KW - Medizintechnik Künstliche Intelligenz Medizinische Ethik Technology Medical Ethics Artificial intelligence
KW - Social Implications of Digital Technologies in Health Care
KW - Patient Autonomy in Digital Health Care
KW - Algorithmic Fairness
KW - Digital Health Ethics
KW - Ethics of Big Data
UR - https://www.scopus.com/pages/publications/85210062990
U2 - 10.1007/978-3-031-55744-6
DO - 10.1007/978-3-031-55744-6
M3 - Book
SN - 9783031557439
T3 - International Library of Ethics, Law and Technology
BT - Ethics of medical AI
PB - Springer Cham
ER -