ESR eHealth and Informatics Subcommittee Session

ESR eHealth 7 - The brave new world of multimodal and foundational models

Lectures

1
Chairperson's introduction

Chairperson's introduction

--:--Lisa C. Adams, Munich / DE

2
How transformers transformed AI: technical introduction

How transformers transformed AI: technical introduction

15:00Christian Blüthgen, Zürich / CH

3
How will generative AI and foundation models change medical imaging?

How will generative AI and foundation models change medical imaging?

15:00Leonor Cerda Alberich, Valencia / ES

4
Understandability and trust in large language models

Understandability and trust in large language models

15:00Giuseppe Pontillo, Napoli / IT

5
Multimodality and beyond, a glimpse on potential futures of healthcare

Multimodality and beyond, a glimpse on potential futures of healthcare

23:00Hao Li, Abu Dhabi / AE

6
Panel discussion: Advanced AI: when will it be ready for prime time?

Panel discussion: Advanced AI: when will it be ready for prime time?

17:00Panel discussion: Advanced AI: when will it be ready for prime time?

5 min
Chairperson's introduction
Lisa C. Adams, Munich / Germany
15 min
How transformers transformed AI: technical introduction
Christian Blüthgen, Zürich / Switzerland
  1. To learn what type of deep learning architecture transformers are.
  2. To appreciate the impact transformers had on a variety of tasks outside medicine.
  3. To discuss the potential applications of transformer models in radiology.
15 min
How will generative AI and foundation models change medical imaging?
Leonor Cerda Alberich, Valencia / Spain
  1. To learn about generative AI and foundation models in the context of medical imaging.
  2. To discuss potential applications of generative AI in radiology.
  3. To appreciate potential pitfalls when applying generative AI and foundation models.
15 min
Understandability and trust in large language models
Giuseppe Pontillo, Napoli / Italy
  1. To appreciate examples of challenging interaction with and misleading output of large language models.
  2. To discuss clinically useful applications of large language models in radiology.
  3. To learn about methods to overcome the limitations in trust and understandability of large language models.
23 min
Multimodality and beyond, a glimpse on potential futures of healthcare
Hao Li, Abu Dhabi / United Arab Emirates
  1. To learn about applications of AI on multimodal datasets.
  2. To appreciate recent and future developments in computer vision.
  3. To discuss interesting bleeding edge technologies that could impact the future of radiology.
17 min
Panel discussion: Advanced AI: when will it be ready for prime time?

This session offers AI-generated subtitles.