NH 13 - Sustainability and equity in radiology AI: ensuring a fair future
February 28, 09:30 - 11:00 CET
This session explores the critical aspects of sustainability and equity in radiology AI. It aims to provide insights into the carbon footprint of training and deploying AI models in clinical settings, as well as strategies for reducing their environmental impact. The session also addresses the crucial issues of equity and bias in radiology AI, emphasising the need for fair and unbiased AI systems, and includes a patient's perspective on the use of AI in radiology.
5 min
Chairperson's introduction
15 min
Sustainable AI infrastructures: key considerations for radiology departments
15 min
How green is clinical AI? The carbon impact of AI in clinical routine
15 min
Equity and bias of AI in radiology
15 min
Did AI report my scan: a patient's perspective
25 min
Panel discussion: Who is responsible for managing the carbon footprint and bias in imaging AI?