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Fleur Fritz-Kebede

Showing results (1-10 of 10) with videos related to

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Studies in Health Technology and Informatics|May 23, 2026
LLM4ODM: Synthetic Clinical Study Data Generation for CDISC ODMElyas Hussein, Beshr Kaadan, Martin Dugas, et al.
Studies in Health Technology and Informatics|August 8, 2025
Automated Testing to Improve Data Quality in Clinical Study DatabasesElyas Hussein, Martin Dugas, Matthias Ganzinger, et al.
Studies in Health Technology and Informatics|May 23, 2026
Patient Trajectories with High-Frequency PROMs Integrated into EHR Systems: A Comprehensive Outcome for Clinical Research and CareMartin Dugas, Robin Fleige, Max Christian Blumenstock, et al.
Digital Health|February 23, 2026
Single source - triple flow: Structured electronic data capture for pancreatic surgery patientsMax Blumenstock, Fleur Fritz-Kebede, Niels Siegel, et al.
NPJ Digital Medicine|January 12, 2024
Next-generation study databases require FAIR, EHR-integrated, and scalable Electronic Data Capture for medical documentation and decision supportMartin Dugas, Max Blumenstock, Tobias Dittrich, et al.
Digital Health|August 12, 2024
Secondary use of patient data within decentralized studies using the example of rare diseases in Germany: A data scientist's exploration of process and lessons learnedMichele Zoch, Christian Gierschner, Anne-Katrin Andreeff, et al.
Journal of Medical Internet Research|February 24, 2026
Quality of Life Trajectories With Integration Into Electronic Health Records for High-Resolution Patient Outcomes: Algorithm Development and Validation StudyMartin Dugas, Robin Fleige, Max Christian Blumenstock, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|November 15, 2025
Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning studyJohanna M Brandenburg, André Schulze, Alexander C Jenke, et al.
Surgical Endoscopy|September 28, 2022
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal dataMartin Wagner, Johanna M Brandenburg, Sebastian Bodenstedt, et al.
Surgical Endoscopy|October 13, 2023
Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation studyJohanna M Brandenburg, Alexander C Jenke, Antonia Stern, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|May 23, 2026
LLM4ODM: Synthetic Clinical Study Data Generation for CDISC ODMElyas Hussein, Beshr Kaadan, Martin Dugas, et al.
Studies in Health Technology and Informatics|August 8, 2025
Automated Testing to Improve Data Quality in Clinical Study DatabasesElyas Hussein, Martin Dugas, Matthias Ganzinger, et al.
Studies in Health Technology and Informatics|May 23, 2026
Patient Trajectories with High-Frequency PROMs Integrated into EHR Systems: A Comprehensive Outcome for Clinical Research and CareMartin Dugas, Robin Fleige, Max Christian Blumenstock, et al.
Digital Health|February 23, 2026
Single source - triple flow: Structured electronic data capture for pancreatic surgery patientsMax Blumenstock, Fleur Fritz-Kebede, Niels Siegel, et al.
NPJ Digital Medicine|January 12, 2024
Next-generation study databases require FAIR, EHR-integrated, and scalable Electronic Data Capture for medical documentation and decision supportMartin Dugas, Max Blumenstock, Tobias Dittrich, et al.
Digital Health|August 12, 2024
Secondary use of patient data within decentralized studies using the example of rare diseases in Germany: A data scientist's exploration of process and lessons learnedMichele Zoch, Christian Gierschner, Anne-Katrin Andreeff, et al.
Journal of Medical Internet Research|February 24, 2026
Quality of Life Trajectories With Integration Into Electronic Health Records for High-Resolution Patient Outcomes: Algorithm Development and Validation StudyMartin Dugas, Robin Fleige, Max Christian Blumenstock, et al.
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|November 15, 2025
Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning studyJohanna M Brandenburg, André Schulze, Alexander C Jenke, et al.
Surgical Endoscopy|September 28, 2022
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal dataMartin Wagner, Johanna M Brandenburg, Sebastian Bodenstedt, et al.
Surgical Endoscopy|October 13, 2023
Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation studyJohanna M Brandenburg, Alexander C Jenke, Antonia Stern, et al.
Pageof 1