ISMRM22 - Artificial Intelligence in MRI Practice

Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting • 07-12 May 2022 • London, UK

Artificial Intelligence in MRI Practice

ISMRT Educational Session

ORGANIZERS: Rupesh Kandi, Martin Sherriff

Saturday, 07 May 2022

ICC Capital Suite 14-16

09:00 - 10:30

Moderators: Liana Sanches

Session Number: ISMRT-01

Session Number: ISMRT-01

Overview
This session will provide an update relating to the recent developments in Artificial Attendance related to the field of MRI. In this session, audiences will hear the perspectives, experiences and impacts from a variety of backgrounds and explore how each team can be more confident in this emerging technology. The contrast session will introduce concepts that address the use of Gadolinium Contrast Agents and what impact this new technology may have on this.

Target Audience
MR Radiographers and Technologists, Clinicians and Physicists

Educational Objectives
As a result of attending this course, participants should be able to:
As a result of attending this course, participants should be able to:
1. Describe the clinical impacts that may be induced by low Artificial Intelligence
2. Illustrate the key points that Radiographers/Technologists need to know when procuring or selecting Artificial Intelligence software and processes
3. Learn about real clinical impacts that we are beginning to observe.

	09:00		Procuring & Using AI: What Radiographers Need to Know Video Unavailable Christina Malamateniou, Mark McEntee AI has the potential to improve the quality, safety and efficiency of care provided to patients by radiographers. However, when new algorithms are proposed clinicians must be convinced of their safety and effectiveness before implementation. New guidelines (regulatory frameworks, ethics and evaluation) attempt for the first time to provide a way of assessing AI. This paper aims to: i) review and discuss these guidelines for evaluation of AI tools in radiography, ii) consider how these may impact acceptability and adoption by healthcare practitioners,, iii) offer recommendations addressing any gaps in the radiographers’ knowledge on testing and procuring AI medical devices.
	09:30		Artificial Intelligence in Diagnostic Imaging: Impact on the Radiography Profession Video Unavailable Tim Leiner
	10:00		MR Contrast Imaging: Future & Impact of AI View the Presentation Greg Zaharchuk