EIBIR Session

EIBIR 6 - Artificial intelligence (AI) for health imaging: transforming cancer diagnosis and analysis with advanced image repositories

Lectures

1
Introduction to the AI4HI

Introduction to the AI4HI

05:00Regina G. H. Beets-Tan, Amsterdam / NL

2
CHAIMELEON: from unmet clinical needs to data harmonisation

CHAIMELEON: from unmet clinical needs to data harmonisation

15:00Luis Marti-Bonmati, Valencia / ES

3
EuCanImage: a European repository for AI in cancer imaging

EuCanImage: a European repository for AI in cancer imaging

15:00Karim Lekadir, Barcelona / ES

4
FUTURE-AI: a code of practice for trustworthy and ethical AI

FUTURE-AI: a code of practice for trustworthy and ethical AI

10:00Karim Lekadir, Barcelona / ES

5
EUCAIM: empowering radiologists to achieve innovative success

EUCAIM: empowering radiologists to achieve innovative success

05:00Heinz-Peter Schlemmer, Heidelberg / DE

6
Discussion

Discussion

10:00Discussion

5 min
Introduction to the AI4HI
Regina G. H. Beets-Tan, Amsterdam / Netherlands
15 min
CHAIMELEON: from unmet clinical needs to data harmonisation
Luis Marti-Bonmati, Valencia / Spain
  1. To learn the importance of adequate clinical use of AI and image features.
  2. To appreciate the critical barrier of data recruitment and completeness.
  3. To understand the relevance of image and data harmonisation in reproducibility.
15 min
EuCanImage: a European repository for AI in cancer imaging
Karim Lekadir, Barcelona / Spain
  1. To learn about FAIR data repositories in cancer imaging.
  2. To appreciate how such repositories can be leveraged for AI.
  3. To understand how existing collections can be accessed and reused.
10 min
FUTURE-AI: a code of practice for trustworthy and ethical AI
Karim Lekadir, Barcelona / Spain
  1. To learn about trustworthy and ethical AI.
  2. To appreciate how best practices can enhance future AI.
  3. To understand how to apply such best practices.
5 min
EUCAIM: empowering radiologists to achieve innovative success
Heinz-Peter Schlemmer, Heidelberg / Germany
  1. To learn about the EUCAIM infrastructure designed to facilitate and foster the development of AI-based cancer management tools.
  2. To appreciate the opportunities for pan-European imaging data upload, discovery and distributed processing.
  3. To understand the dashboard, architecture and usability of the platform.
10 min
Discussion

This session offers AI-generated subtitles.