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.
Overview
Syllabus
Introduction
Ethics and AI in Healthcare
Autonomous Reality
FDA Approval
AI is a commodity
Creating the guardrails
Why are ethics important
Concerns about AI
Bias AI
Gene Therapy
Ethics for AI
How far it meets various metrics
Three famous ethical principles
Finding a balance
Membership
Reimbursement Matters
AI Bias and Health Equity
AI Life Cycle
Policy Model
Responsive Medical Liability
Data Usage and Ownership
Reimbursement
Productivity
Questions
Thank you
Taught by
Johns Hopkins Medicine
