In Focus: The Art of Artificial Intelligence in Clinical Practice
IF 20 - Trust, but verify: ethics and errors on the AI canvas
Lectures
1
Chairperson's introduction
05:00Daniel Pinto Dos Santos, Mainz / DE
2
How to handle data quality and data bias
20:00Martin J. Willemink, San Diego / US
3
How automation can lead astray
20:00Mohammad Hosein Rezazade Mehrizi, Amsterdam / NL
4
How to ethically use AI in practice
20:00Paul Yi, Memphis / US
5
Panel discussion: How can we be sure of what AI tells us?
25:00Panel discussion: How can we be sure of what AI tells us?
Where do we, as radiologists, stand in our journey towards AI-enhanced radiological practice? Despite all the potential benefits AI could bring to radiology, being well-informed and unbiased is crucial, both for the models and for the radiologists. Undetected errors in the underlying data and the interaction with humans can have unintended consequences. This session will discuss where and how errors can occur and how to ensure ethical human-AI interaction.
5 min
Chairperson's introduction
Daniel Pinto Dos Santos, Mainz / Germany
20 min
How to handle data quality and data bias
Martin J. Willemink, San Diego / United States
20 min
How automation can lead astray
Mohammad Hosein Rezazade Mehrizi, Amsterdam / Netherlands
20 min
How to ethically use AI in practice
Paul Yi, Memphis / United States
25 min
Panel discussion: How can we be sure of what AI tells us?