Special Focus Session

Clinical impact of artificial intelligence (AI): status report

Lectures

1
SF 20 - AI in chest x-ray prioritisation: has it been useful?

SF 20 - AI in chest x-ray prioritisation: has it been useful?

12:57C. Muñoz Núñez, Valencia / ES

Learning Objectives
1. To understand why prioritisation is useful in clinical practice.
2. To learn how AI can support prioritisation of chest x-rays.
3. To understand the limitations of AI-based prioritisation.

2
SF 20 - Benefits of AI challenges to clinical practice: algorithms that won and made it to the clinic

SF 20 - Benefits of AI challenges to clinical practice: algorithms that won and made it to the clinic

17:29B. Van Ginneken, Nijmegen / NL

Learning Objectives
1. To learn about AI challenges and their organisation.
2. To understand what happens with the data collected and algorithms created during AI challenges.
3. To learn about examples of AI algorithms that made it from challenges to the clinic.

3
SF 20 - Research action in AI: a national pilot study in France, DRIM AI

SF 20 - Research action in AI: a national pilot study in France, DRIM AI

10:12M. Zins, Paris / FR

Learning Objectives
1. To understand the organisation of DRIM.
2. To learn about the use cases addressed by DRIM.
3. To understand what lessons can be derived from DRIM.