Name: Medical AI: Addressing the Validation Gap
Start: 2023-06-28T11:00:00+02:00
End: 2023-06-28T12:00:00+02:00
Location: Im Neuenheimer Feld 267

**Zoom:**
[https://eu02web.zoom.us/meeting/register/u5Eofu6rqj0uHt2TGHFjE_8TGNJJFgAikohI](https://eu02web.zoom.us/meeting/register/u5Eofu6rqj0uHt2TGHFjE_8TGNJJFgAikohI)

**Details:**
Do you know the most widely used Python library for machine-learning [scikit-learn](https://scikit-learn.org/stable/#) It was the starting ground for multiple groundbreaking research works and business applications that have a profound impact on our everyday lives.
We are excited to have Gaël Varoquaux, a co-founder of one of our favorite Python libraries (and many more), speaking at the DKFZ about his work to bring AI models into production in the medical domain by improving their evaluation before they are put to the test in the real world.
Proper evaluation of AI is a hot topic far beyond the medical domain, so we encourage you to make use of this opportunity to learn about adequate validation (and, even better, we put it into action in our research).

This event is held jointly with the [NCT Data Science Seminar](https://www.dkfz.de/en/datascience/seminar.html) and [ELLIS Life](https://www.ellis-life-heidelberg.eu).

For more info go to:
[https://heidelberg.ai/2023/06/28/varoquaux.html](https://heidelberg.ai/2023/06/28/varoquaux.html)

Gregor Koe

Tassilo Wald

Paul Jaeger

Carsten L.

Doreen Heckmann-Nötzel

heidelberg.ai

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Medical AI: Addressing the Validation Gap

Medical & Health Sciences

Im Neuenheimer Feld 267

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Medical AI: Addressing the Validation Gap

heidelberg.ai

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