Special Focus Session

After the hype: the practical aspects of artificial intelligence

Lectures

1
Chairperson's introduction - Laure S. Fournier, Paris / FR

Chairperson's introduction - Laure S. Fournier, Paris / FR

05:00

2
Open-source tools for the non-expert radiologist - Guillaume Chassagnon, Paris / FR

Open-source tools for the non-expert radiologist - Guillaume Chassagnon, Paris / FR

18:00

3
Developing methodology for quality assurance in machine learning - Lena Maier-Hein, Heidelberg / DE

Developing methodology for quality assurance in machine learning - Lena Maier-Hein, Heidelberg / DE

18:00

4
What do the neighbours do and how can we collaborate: machine learning in pathology - Paul J. van Diest, Utrecht / NL

What do the neighbours do and how can we collaborate: machine learning in pathology - Paul J. van Diest, Utrecht / NL

18:00

5
Panel discussion: From hype to practical: what's next for artificial intelligence?

Panel discussion: From hype to practical: what's next for artificial intelligence?

13:00Panel discussion: From hype to practical: what's next for artificial intelligence?