ESR Undergraduate Education Subcommittee Session

ESR Undergraduate 4 - How artificial intelligence (AI) can help you learn: smarter study tools for future radiologists

1

05:00Michail Klontzas, Heraklion / GR

2

16:00Lorenzo Ugga, Naples / IT

3

16:00Renato Cuocolo, Naples / IT

4

16:00Tugba Akinci D’Antonoli, Basel / CH

5

07:00Panel discussion: AI in radiology: hype, help, or here to stay?

5 min

Chairperson's introduction

Michail Klontzas, Heraklion / Greece

16 min

Radiomics and AI made simple: the basics you really need to know

Lorenzo Ugga, Naples / Italy

To review the basic concepts of radiomics and AI in medical imaging, including how they work and why they matter.
To appreciate how AI and radiomics can help doctors better detect, diagnose, and monitor diseases using imaging.
To understand the advantages and limitations of using AI in radiology, including what it can and cannot do, and the challenges of using it safely and effectively.

16 min

Become a research detective: how to spot good (and bad) AI studies

Renato Cuocolo, Naples / Italy

To review the key parts of an AI research study in radiology, including how studies are designed and what makes them trustworthy.
To appreciate the importance of asking critical questions when reading AI studies, such as: Was the study fair? Was the data reliable? Can the results be used in real life?
To understand the advantages and limitations of using AI research in clinical decision-making, and why not all studies are ready to change how we practice medicine.

16 min

AI in the classroom: new ways to learn radiology faster and better

Tugba Akinci D’Antonoli, Basel / Switzerland

To review the different ways AI is being used to support radiology education, including tools that help with image interpretation and interactive learning.
To appreciate the indications of when and how AI-based learning tools can be helpful in building radiology knowledge and skills more efficiently.
To understand the advantages and limitations of using AI in medical education, including how it can help personalise learning, and why human guidance is still essential.

7 min

Panel discussion: AI in radiology: hype, help, or here to stay?