Timeslot

Foyer

Timeslot

Amstelzaal

Timeslot

De Waver

09:30-10:15

Registration & coffee

10:15-10:25

Welcome (Paul Elbers & Mark Hoogendoorn)

10:25-11:25

Keynote: Martijn Schut

Medical Foundation Models

Parallel session: Regression discontinuity designs

Parallel session: Data sharing for Digital Health

11:30-12:30

Stéphanie van der Pas

Causal conclusions from a cut-off

11:30-12:30

Marieke Bak & Ronald Cornet

Data sharing for digital health: technical and ethical aspects

12:30-13:30

Lunch

Parallel session: Reinforcement Learning

Parallel session: Integrating research into practice

13:30-14:30

Vincent François-Lavet

Reinforcement Learning in the medical domain

13:30-14:30

Tariq Dam

Machine learning in the ICU

Marketa Ciharova & Ward van Breda

Machine-learning prediction of mental states: Experience from start-up/university collaboration

Parallel session: AI for health monitoring and coaching

Parallel session: AI for diagnostic imaging

14:35-15:35

Maryam Amir Haeri

From Anomalies to Diagnosis: Combining Unsupervised and Supervised Deep Learning for Detection of Interictal Epileptiform Discharges

Armağan Karahanoğlu

User perspectives in sense-making of stress data

Tessa Beinema

Personalised intelligent interactions with conversational agents in eHealth

14:35-15:35

Sharon Ong

Towards the deployment of AI tools and diagnostic imaging into practice

15:35-15:50

Coffee break

15:50-17:15

Panel session: How can AI really generate impact in health and health care?

Martijn Schut, Stéphanie van den Berg, Tariq Dam, Stefano Trebeschi, Wilson Silva, Halima Mouhib

17:15-18:15

Drinks