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08:00 – 08:30


08:30 – 09:00

Welcome Address by the General Chairs
Wolfgang Nejd)

09:00 – 10:00

Causal methods in medicine 
(Niels Peek)

10:00 – 10:25

Estimating causal effects from patient trajectories 
(Stefan Feuerriegel)

10:25 – 10:50

Morning Break

10:50 – 12:35

Medical Use Cases 

Predictive Modeling of Postoperative Performance in Cochlear Implantation:
A Machine Learning Approach 

Alexey Demyanchuk,
Eugen Kludt, Thomas Lenarz, 
and Andreas Büchner 

Long-term kidney graft survival: reliable prognostication and patient stratification with factors from the first transplant year 

Wilfried Gwinner, Matthias Gietzelt, Jan-Hinrich Bräsen, Abedalrazag Ahmad Khalifa, Michael Hallensleben, Rosemarie Hanna, Michael Marschollek and Irina Scheffner  

Personalized prediction of mortality risks in chronic kidney disease patients 

Bence Oláh, Michael Altenbuchinger, Jürgen Dönitz, Ulla T. Schultheiss, Fruzsina Kotsis, Jürgen Floege, Kai-Uwe Eckhardt, Wolfram Gronwald, Peter J. Oefner, Helena U. Zacharias 

Rules as an Interface Between Computer Science and Medicine for Building an Artificial Intelligence-Based Support App in Genetic Counseling  

Nils Ammon, Chiara Reichert, Beate Vajen,
Steffen Oeltze-Jafra, Anke Katharina Bergmann, Dominik Wolff and Thomas Kupka 

An Association Analysis between EQ-5D-3L Items for Post-Stroke Patients 

Thi Nguyet Que Nguyen and John D. Kelleher 

12:30 – 12:40

Poster spotlight talks (2 min. each), 1 slide 

12:40 – 14:00

Lunch & Poster session in basement 

14:00 – 15:00

Causal Inference and Large Language Models: A New Frontier
(Amit Sharma)

15:00 – 16:00

Causal Modelling 

Completing Causal Models by Estimating Average Treatment Effects 

Johanna Schrader and Prasenjit Mitra 

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers 

Jingge Xiao, Leonie Basso, Wolfgang Nejdl,
Niloy Ganguly and Sandipan Sikdar 

Development and Evaluation of a Personalized Ensemble Model for Infection Risk Prediction in Chronic Lymphocytic Leukaemia Patients Using Heterogeneous Data Sources 

Mohammad Al-Agil, Piers Patten,
Anwar Alhaq and Samora Hunter 

16:00 – 16:30

Afternoon Break  

16:30 – 17:30

Assessing Human Factors 

An Ethics Perspective on the Role of Explainability in the Context of AI Applications in Medicine 

Elisabeth Hildt 

AI Based Suicide Risk Assessment  

Grigoris Antoniou 

Some ideas towards building
libraries of (human) mistakes 

Lars Quakulinski,
Adamantios Koumpis and Oya Beyan 

17:30 – 18:30

Poster Presentations & Mixer 

08:30 – 08:50


08:50 – 09:15

Backtracking Counterfactuals
(Sander Beckers)

09:15 – 10:15

Competition or collaboration CDSS 
(Sabine Salloch)

10:15 – 10:30

Morning Break

10:30 – 10:50

On the Relationship Between Explanation
and Prediction: A Causal View 
(Krikamol Muandet)

10:50 – 11:15

Identifying Selection Bias
David Kaltenpoth)

11:20 – 12:00

Medical and Clinical Use Cases 

BACON: Bacterial Clone Recognition from Metagenomic Sequencing Data 

Fabian Müntefering,
Jörn Ostermann and Jan Voge 

Training Experts on Artificial Intelligence in Healthcare Management: a Needs Assessment for Europe 

Valentina Beretta, Maria Chiara Demartini,Hatim Abdulhussein, Franziska Schoger, Marco Fisichella, Dennis Vetter, Blaz Zupan and Ajda Pretnar 

12:00 – 13:15

Lunch Break  

13:15 – 14:15

Predictability is not everything 
(Jonas Peters)

14:15 – 15:15

Panel: Causality in medicine – how much do we need

Niels Peek, Amit Sharma, Elisabeth Hildt, David Suter, Wilfried Gwinner, Niloy Ganguly (moderator)


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