Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

COMFORT website (opens in new window)

Website will inform the public about COMFORTs aims, progress, & results and will be continuously updated.

Report on ethical factors and impacts (opens in new window)

Report about trustworthiness analysis (i.e., transparency, bias-free, privacy concern) of the developed AI modes.

Publications

Robust Renal Mass Segmentation on CT: A Validation Study of an AI-Based Framework (opens in new window)

Author(s): Sarah de Boer, Hartmut Häntze, Kiran Vaidhya Venkadesh, Myrthe A. D. Buser, Gabriel E. Humpire Mamani, Lina Xu, Lisa C. Adams, Jawed Nawabi, Keno K. Bressem, Bram van Ginneken, Mathias Prokop, Alessa Hering
Published in: Machine Learning for Biomedical Imaging, Issue 2026, 2026, ISSN 2766-905X
Publisher: Machine Learning for Biomedical Imaging
DOI: 10.59275/J.MELBA.2026-67G5

Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties (opens in new window)

Author(s): Felix Busch, Lena Hoffmann, Daniel Truhn, Esteban Ortiz-Prado, Marcus R. Makowski, Keno K. Bressem, Lisa C. Adams & COMFORT Consortium
Published in: BMC Medical Education, 2024, ISSN 1472-6920
Publisher: Springer
DOI: 10.1186/S12909-024-06035-4

Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation (opens in new window)

Author(s): Hartmut Häntze
Published in: Radiology Artificial Intelligence, ISSN 2638-6100
Publisher: Radiological Society of North America
DOI: 10.1148/RYAI.240777

Assessing the Fragility of SHAP-Based Model Explanations Using Counterfactuals

Author(s): Lili Jiang
Publisher: PMLR (Proceedings of Machine Learning Research)

Patient Attitudes Worldwide Towards AI in Healthcare and Diagnostics: Results from the COMFORT Study (opens in new window)

Author(s): Keno Bressem
Published in: ISSN 2574-3805
Publisher: American Medical Association
DOI: 10.1001/JAMANETWORKOPEN.2025.14452

Revisiting Clinical Outcome Prediction for MIMIC-IV (opens in new window)

Author(s): Tom Röhr, Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Keno Bressem, Wolfgang Nejdl, Alexander Löser
Published in: Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2024.clinicalnlp-1.18

"""Where does it hurt?"" - Dataset and Study on Physician Intent Trajectories in Doctor Patient Dialogues"

Author(s): Dennis Fast
Published in: ECAI, ISSN 1879-8314
Publisher: IOS Press

Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis (opens in new window)

Author(s): Alessa Hering, Sarah de Boer, Anindo Saha, Jasper J. Twilt, Mattias P. Heinrich, Derya Yakar, Maarten de Rooij, Henkjan Huisman, Joeran S. Bosma
Published in: Lecture Notes in Computer Science, Biomedical Image Registration, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73480-9_12

Searching for OpenAIRE data...

There was an error trying to search data from OpenAIRE

No results available

My booklet 0 0