EIBIR Session
EIBIR 21 - Intelligence at work: harnessing artificial intelligence (AI) for clinical decision-making
Lectures
1
Introduction
10:00Regina G. H. Beets-Tan, Amsterdam / NL
2
AI-POD: harnessing the power of AI to combat obesity-related cardiovascular disease
22:00Wiebke Fenske, DE / Bochum, Ben Glocker, London / UK
3
ODELIA: secure and collaborative AI-driven breast cancer diagnostics through swarm learning
22:00Alexandra Athanasiou, Athens / GR, Adrià Marcos Morales, Barcelona / ES
4
RadioVal: the AI advantage, charting new frontiers in clinical decision-making
22:00Karim Lekadir, Barcelona / ES, Gianna Tsakou, Athens, Marousi / GR
5
Questions and answers
14:00Questions and answers
10 min
Introduction
Regina G. H. Beets-Tan, Amsterdam / Netherlands
22 min
AI-POD: harnessing the power of AI to combat obesity-related cardiovascular disease
Wiebke Fenske, DE / Bochum
Ben Glocker, London / United Kingdom
Ben Glocker, London / United Kingdom
- To learn about the AI-POD project for obesity-related disease prediction for cardiovascular disease.
- To understand how to build and validate AI tools to predict obesity-related vascular disease.
- To learn about the clinical need for AI tools for obesity-related vascular disease prediction.
22 min
ODELIA: secure and collaborative AI-driven breast cancer diagnostics through swarm learning
Alexandra Athanasiou, Athens / Greece
Adrià Marcos Morales, Barcelona / Spain
Adrià Marcos Morales, Barcelona / Spain
- To learn about collaborative training of AI algorithms.
- To get up to date about the current progress of AI in MR breast imaging.
- To learn about possibilities to contribute to collaborative AI development.
22 min
RadioVal: the AI advantage, charting new frontiers in clinical decision-making
Karim Lekadir, Barcelona / Spain
Gianna Tsakou, Athens, Marousi / Greece
Gianna Tsakou, Athens, Marousi / Greece
- To learn about the FUTURE-AI guideline for trustworthy AI in healthcare.
- To understand its potential for building and validating trustworthy AI tools in breast cancer imaging.
- To understand the importance of traceable AI and how it can be achieved.
14 min
Questions and answers
Only users with an ECR registration can claim CME credits and the Certificate of Attendance for Free Sessions.
Regina G. H. Beets-Tan
Amsterdam / Netherlands
Regina G. H. Beets-Tan
Amsterdam / NetherlandsWiebke Fenske
DE / BochumBen Glocker
London / United KingdomAlexandra Athanasiou
Athens / GreeceAdrià Marcos Morales
Barcelona / SpainKarim Lekadir
Barcelona / SpainGianna Tsakou
Athens, Marousi / Greece
Comments
This commenting area is designed as a platform to ask questions related to the session content. If you have queries concerning the functionality of ESR Connect, please refer to the FAQs.