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Artificial Intelligence in Medicine
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Table of Contents

1. Artificial Intelligence is the future Medicine?
2. What is needed for Artificial Intelligence to be successfully implemented in Medicine?
3. Data Access, Data Bias, Data Equity
4. Data Custodian and Data Stewardship
5. Respect and Dignity
6. Privacy and Confidentiality
7. Algorithmic Understanding
8. Algorithmic Adversarial Attacks
9. Accountability and Legal Responsibility
10. Regulatory Guidance for AI Devices11. Equity of Healthcare
12. AI-assisted Medicine or AI-driven Medicine

About the Author

Joseph Sung is a MD, PhD, Dean of Medicine and Senior Vice President of Nanyang Technological University Singapore. He was President and Vice Chancellor of the Chinese University of Hong Kong 2010-2017 and President of the World University Network 2016-2018. With 30 years of experience in academic medicine, he has published over 1,000 scientific papers and review articles, and nominated highly cited research in 2018, 2019 and 2020 by Clarivate Web of Science. In recent years, his interest has turned into the use of artificial intelligence in Medicine. Cameron Stewart BEc LLB, PhD, is a member of Sydney Health Law and an associate of the Centre for Values, Ethics and the Law in Medicine, Professor of Health, Law and Ethics at the University of Sydney Law School. He was acting Dean of Law in Sydney Law School, acting president of the Australian and New Zealand Institute of Health Law and Ethics in 2008-2010 and was the Vice-President of the Australasian Association of Bioethics and Health Law from 2010-2013.

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