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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

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

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

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

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