Part 1: Foundations -- Chapter 1: Introduction -- Chapter 2: Artificial Intelligence: In search of a definition -- Chapter 3: MAI: A very short history and the state of the art -- Chapter 4: Ethical foundations: Medical Ethics and Data Ethics -- Part 2: Ethical Analysis -- Chapter 5: Practices -- Chapter 6: Relationships -- Chapter 7: Environments -- Chapter 8: Instead of a conclusion: Seven lessons for the present.

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.