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1
Introduction
2
Ethics and AI in Healthcare
3
Autonomous Reality
4
FDA Approval
5
AI is a commodity
6
Creating the guardrails
7
Why are ethics important
8
Concerns about AI
9
Bias AI
10
Gene Therapy
11
Ethics for AI
12
How far it meets various metrics
13
Three famous ethical principles
14
Finding a balance
15
Membership
16
Reimbursement Matters
17
AI Bias and Health Equity
18
AI Life Cycle
19
Policy Model
20
Responsive Medical Liability
21
Data Usage and Ownership
22
Reimbursement
23
Productivity
24
Questions
25
Thank you
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the ethical implications of artificial intelligence in healthcare during this 57-minute grand rounds lecture by Dr. Michael Abramoff from the University of Iowa. Delve into topics such as autonomous reality, FDA approval, AI as a commodity, and the creation of ethical guardrails. Examine concerns about AI, including bias and its impact on health equity. Investigate the AI life cycle, policy models, responsive medical liability, data usage and ownership, and reimbursement issues. Learn about the three famous ethical principles and how to balance them in healthcare informatics. Gain insights into gene therapy, the importance of ethics in AI development, and how AI meets various metrics. Participate in a Q&A session to further discuss the intersection of AI, ethics, and healthcare.

Ethics of AI in Healthcare Informatics - Grand Rounds Lecture

Johns Hopkins Medicine
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