This course explores how Artificial Intelligence (A.I.) is revolutionizing healthcare, discussing the role, pitfalls, and implementation of A.I. in the medical field. The learning outcomes include understanding the impact of A.I. on preventive and diagnostic medicine, as well as the ethical considerations of relying on machines for healthcare decisions. The course teaches about A.I. medical triage kiosks, challenges at the personal level, data sharing in healthcare, and the potential of digital media in health information dissemination. The teaching method involves presentations and discussions led by industry experts. The intended audience includes individuals interested in the intersection of technology and healthcare, as well as those curious about the implications of A.I. in the medical sector.
Overview
Syllabus
Emily Senays Introduction
Who is in the audience?
What role will A.I. play in healthcare?
Where is A.I. going in healthcare?
What are some of the pitfalls of A.I. in healthcare?
Implementation of A.I. in healthcare.
An example of an A.I. medical triage kiosk
If you were given the choice to use a heath kiosk would you?
What are the challenges facing A.I. at the personal level?
If you increase the level of dependence on A.I. could it have an adverse effect?
How data sharing is implemented in healthcare.
Is there an unprecedented opportunity to harness digital media to inform the public?
Should there be a move to link IP to self diagnosis online?
Taught by
World Science Festival
