Refresher Courses
RC 205 - How artificial intelligence (AI) has changed radiology
Lectures
1
RC 205 - A. How to integrate AI into the clinical workflow
10:01T. Leiner, Utrecht / NL
Learning Objectives
1. To learn how different AI systems can be integrated to support the radiological workflow.
2. To understand the benefits of integrating AI systems into the clinical routine.
3. To learn the challenges related to the AI workflow.
2
RC 205 - B. AI in automated organs segmentation
11:46A. Jiménez-Pastor, Valencia / ES
Learning Objectives
1. To learn how AI has enabled automated image analysis through human-like performance in segmentation.
2. To appreciate the main AI network architectures allowing for multiple-organs segmentation.
3. To understand novel techniques for automated lesions segmentation.
RC 205-2
10 min
A. How to integrate AI into the clinical workflow
Tim Leiner, Rochester / United States
Learning Objectives
1. To learn how different AI systems can be integrated to support the radiological workflow.
2. To understand the benefits of integrating AI systems into the clinical routine.
3. To learn the challenges related to the AI workflow.
2. To understand the benefits of integrating AI systems into the clinical routine.
3. To learn the challenges related to the AI workflow.
RC 205-3
10 min
B. AI in automated organs segmentation
Ana Jimenez-Pastor, Valencia / Spain
Learning Objectives
1. To learn how AI has enabled automated image analysis through human-like performance in segmentation.
2. To appreciate the main AI network architectures allowing for multiple-organs segmentation.
3. To understand novel techniques for automated lesions segmentation.
2. To appreciate the main AI network architectures allowing for multiple-organs segmentation.
3. To understand novel techniques for automated lesions segmentation.
RC 205-4
10 min
C. AI in detection and classification applied to workflow prioritisation
Ramin Khorasani, Boston / United States
Learning Objectives
1. To learn how we can make use of AI to optimise radiology workflow.
2. To appreciate the impact of AI in real productivity metrics of radiologists.
3. To understand the trustworthiness of AI for first-reads and worklists prioritisation.
2. To appreciate the impact of AI in real productivity metrics of radiologists.
3. To understand the trustworthiness of AI for first-reads and worklists prioritisation.
RC 205-5
10 min
D. Can we now trust AI models?
Hugh Harvey, Banstead / United Kingdom
Learning Objectives
1. To learn about basic regulatory concepts at a European level.
2. To appreciate the different classes of medical devices.
3. To learn the key questions to ask AI providers.
2. To appreciate the different classes of medical devices.
3. To learn the key questions to ask AI providers.
15 min
Live Q&A