Forschungsgruppe Dr. Jan Bartussek

Our research group uses clinical data, data science and artificial intelligence to address research questions in intensive care medicine.

We have access to a broad range of routinely collected ICU data, including physiological time series, laboratory results, treatments and clinical documentation. Our secure computing infrastructure within the University Hospital Zurich enables us to analyse sensitive clinical data and run AI models, including large language models, locally.

Our work combines clinical expertise with methods from statistics, machine learning and artificial intelligence.

Collaboration

Collaboration is a central part of our research. We work closely with clinical and scientific groups within intensive care medicine on a broad range of research questions, including projects on delirium and other aspects of critical illness.

We also collaborate with academic partners including ETH Zurich, the University of Zurich (UZH) and the Zurich University of Applied Sciences (ZHAW), bringing together expertise from medicine, data science, informatics and related fields.

We welcome new collaborations that combine clinically relevant questions with data-driven methods, machine learning or artificial intelligence.

Selected Publications

Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypes
Xiaochen Zheng, Ahmed Allam, Manuel Schürch, Xingyu Chen, Maria Angeliki Komninou, Reto Schüpbach, Jan Bartussek, Michael Krauthammer
PLOS Digital Health, 2026
https://doi.org/10.1371/journal.pdig.0001267

Longitudinal trajectories of functional outcome following aneurysmal subarachnoid hemorrhage: a retrospective study
Ignazio de Trizio, Andrea Ferrario, Stefan Yu Bögli, Francesca Casagrande, Meritxell Garcia Alzamora, Martina Sebök, Jan Bartussek, Giovanna Brandi
Critical Care, 2026
https://doi.org/10.1186/s13054-025-05808-7

Delirium modifies the prognostic performance of SAPS-II
Ignazio De Trizio, Maria Angeliki Komninou, Reto Schüpbach, Giovanna Brandi, Jan Bartussek
Journal of Anesthesia, Analgesia and Critical Care, 2026
https://doi.org/10.1186/s44158-026-00439-y

Students and Doctoral Candidates

We offer opportunities for students and doctoral candidates interested in clinical data science and artificial intelligence.

Projects range from the analysis of physiological and clinical data to machine learning and the application of large language models in intensive care research.

If you are interested in joining our group, please contact us.