ICUCockpit Research Group by University Hospital Zurich and University of Zurich

Research

This page provides an overview of the research being conducted at the ICUCockpit Lab. For an extensive list of research articles by individual team members, please visit the respective profile pages.

Highlighted

Limitations of SpO2 / FiO2-ratio for classification and monitoring of acute respiratory distress syndrome—an observational cohort study
Limitations of SpO2 / FiO2-ratio for classification and monitoring of acute respiratory distress syndrome—an observational cohort study
Rolf Erlebach, Una Pale, Tilman Beck, Sasa Markovic, Marko Seric, Sascha David, Emanuela Keller
Critical Care  ·  19 Feb 2025  ·  10.1186/s13054-025-05317-7
The ratio of pulse-oximetric peripheral oxygen saturation to fraction of inspired oxygen (SpO2/FiO2) has been proposed as additional hypoxemia criterion in a new global definition of acute respiratory distress syndrome (ARDS). This study aims to evaluate the clinical and theoretical limitations of the SpO2/FiO2-ratio when using it to classify patients with ARDS and to follow disease progression.
A Longitudinal Model for a Dynamic Risk Score to Predict Delayed Cerebral Ischemia after Subarachnoid Hemorrhage
A Longitudinal Model for a Dynamic Risk Score to Predict Delayed Cerebral Ischemia after Subarachnoid Hemorrhage
Jan F. Willms, Corinne Inauen, Stefan Yu Bögli, Carl Muroi, Jens M. Boss, Emanuela Keller
Bioengineering  ·  30 Sep 2024  ·  10.3390/bioengineering11100988
Accurate longitudinal risk prediction for DCI (delayed cerebral ischemia) occurrence after subarachnoid hemorrhage (SAH) is essential for clinicians to administer appropriate and timely diagnostics, thereby improving treatment planning and outcome. This study aimed to develop an improved longitudinal DCI prediction model and evaluate its performance in predicting DCI between day 4 and 14 after aneurysm rupture.
Solving the explainable AI conundrum by bridging clinicians’ needs and developers’ goals
Solving the explainable AI conundrum by bridging clinicians’ needs and developers’ goals
Nadine Bienefeld, Jens Michael Boss, Rahel Lüthy, Dominique Brodbeck, Jan Azzati, Mirco Blaser, Jan Willms, Emanuela Keller
npj Digital Medicine  ·  22 May 2023  ·  doi:10.1038/s41746-023-00837-4
This paper presents the findings of a longitudinal multi-method study involving 112 developers and clinicians co-designing an XAI solution for a clinical decision support system. Our study identifies three key differences between developer and clinician mental models of XAI, including opposing goals (model interpretability vs. clinical plausibility), different sources of truth (data vs. patient), and the role of exploring new vs. exploiting old knowledge
ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit
ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit
Jens Michael Boss, Gagan Narula, Christian Straessle, Jan Willms, Jan Azzati, …, Carl Muroi, David Jule Mack, Marko Seric, Daniel Baumann, Emanuela Keller
Journal of the American Medical Informatics Association  ·  14 Jul 2022  ·  doi:10.1093/jamia/ocac064
The description of our ICUCockpit IT infrastructure responsible for collecting multimodal data from a neurosurgical ICU and real-time decision support

All

2025

Limitations of SpO2 / FiO2-ratio for classification and monitoring of acute respiratory distress syndrome—an observational cohort study
Rolf Erlebach, Una Pale, Tilman Beck, Sasa Markovic, Marko Seric, Sascha David, Emanuela Keller
Critical Care  ·  19 Feb 2025  ·  10.1186/s13054-025-05317-7

2024

A Longitudinal Model for a Dynamic Risk Score to Predict Delayed Cerebral Ischemia after Subarachnoid Hemorrhage
Jan F. Willms, Corinne Inauen, Stefan Yu Bögli, Carl Muroi, Jens M. Boss, Emanuela Keller
Bioengineering  ·  30 Sep 2024  ·  10.3390/bioengineering11100988
Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists’ and Clinicians’ Perspectives on AI Augmentation and Automation
Nadine Bienefeld, Emanuela Keller, Gudela Grote
Journal of Medical Internet Research  ·  22 Jul 2024  ·  doi:10.2196/50130
Evaluation of machine learning algorithms for noninvasive intracranial pressure estimation using near infrared spectroscopy as a covariate
Gagan Narula, Jens Boss, Marko Seric, Daniel Baumann, Joan P. Salles, Jürg Fröhlich, Dirk Baumann, Emanuela Keller, Jan Willms
Technology and Health Care  ·  14 Mar 2024  ·  doi:10.3233/THC-230329

2023

Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care
Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann
2023 10th IEEE Swiss Conference on Data Science (SDS)  ·  01 Aug 2023  ·  doi:10.1109/SDS57534.2023.00019
Solving the explainable AI conundrum by bridging clinicians’ needs and developers’ goals
Nadine Bienefeld, Jens Michael Boss, Rahel Lüthy, Dominique Brodbeck, Jan Azzati, Mirco Blaser, Jan Willms, Emanuela Keller
npj Digital Medicine  ·  22 May 2023  ·  doi:10.1038/s41746-023-00837-4

2022

Blood Pressure Variability Indices for Outcome Prediction After Thrombectomy in Stroke by Using High-Resolution Data
Corinne Inauen, Jens M. Boss, Mira Katan, Andreas R. Luft, Zsolt Kulcsar, Jan F. Willms, Stefan Y. Bögli, Emanuela Keller
Neurocritical Care  ·  04 Nov 2022  ·  doi:10.1007/s12028-022-01519-x
ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit
Jens Michael Boss, Gagan Narula, Christian Straessle, Jan Willms, Jan Azzati, …, Carl Muroi, David Jule Mack, Marko Seric, Daniel Baumann, Emanuela Keller
Journal of the American Medical Informatics Association  ·  14 Jul 2022  ·  doi:10.1093/jamia/ocac064

2021

Detection of EEG burst-suppression in neurocritical care patients using an unsupervised machine learning algorithm
G. Narula, M. Haeberlin, J. Balsiger, C. Strässle, L.L. Imbach, E. Keller
Clinical Neurophysiology  ·  20 Jul 2021  ·  doi:10.1016/j.clinph.2021.07.018
Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings
Matthew Pediaditis, Anca-Nicoleta Ciubotaru, Thomas Brunschwiler, Peter Hilfiker, Thomas Grunwald, …, Lukas Imbach, Carl Muroi, Christian Stra Ssle, Emanuela Keller, Maria Gabrani
AMIA ... Annual Symposium proceedings. AMIA Symposium  ·  25 Jan 2021  ·  pmcid:PMC8075529

2020

Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection
Carl Muroi, Sando Meier, Valeria De Luca, David J. Mack, Christian Strässle, Patrick Schwab, Walter Karlen, Emanuela Keller
Neurocritical Care  ·  01 Apr 2020  ·  doi:10.1007/s12028-019-00711-w