Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases

Informazioni relative al progetto

AI-POD

ID dell’accordo di sovvenzione: 101080302

DOI

10.3030/101080302

Data della firma CE 24 Marzo 2023

Data di avvio 1 Maggio 2023

Data di completamento 30 Aprile 2027

Finanziato da

• Health

Costo totale

€ 5 292 785,75

Contributo UE

€ 5 292 785,75

Coordinato da

MEDIZINISCHE UNIVERSITAET WIEN
Austria

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (2)

Project website

The project website

First AI-POD promotional video

Explainer animation to introduce the project and raise awareness

Documents, reports (8)

Analysis of governance frameworks for the implementation of AI-driven technologies

Report on existing governance models for embedding ethics into the use of AI-driven applications

Citizen App focus group activities

Report on the Citizen App focus group activities

Initial end-user tutorials and workshops

Report on the initial end-user tutorials and workshops

End-user survey and workshops

Report on the end-user survey and workshops

Analysis of stakeholder perspectives on the use of AI in imaging-based prediction of obesity-related vascular diseases

Empirical and theoretical assessment of experiences, beliefs, values and expectations of key stakeholders.

Study initiation package

Report including the study registration number, the final version of study protocol, as well as necessary ethics approval required for the enrolment of the first study participant (from first clinical site)

Communication kit

Resource with building blocks for communication activities, e.g., logos, website, basic slides, summaries

Communication and dissemination plan

Plan describing the communication and dissemination activities, subsequently updated in each periodic report

Other (2)

Comprehensive photon-counting CT protocol

Optimized, comprehensive photon-counting CT protocol for cardiovascular imaging

Prototype software and extraction of imaging features

Prototype software Extraction of imaging features for the algorithm

Pubblicazioni

Book chapters (7)

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs

Autori: Karthik Gopinath, Raghav Mehta, Ben Glocker, Juan Eugenio Iglesias
Pubblicato in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-05325-1_61

Cardiovascular Disease Classification Using Radiomics and Geometric Features from Cardiac CT

Autori: Ajay Mittal, Raghav Mehta, Omar Todd, Philipp Seeböck, Georg Langs, Ben Glocker
Pubblicato in: Lecture Notes in Computer Science, Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-17734-6_10

AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring

Autori: Branko Mitic, Philipp Seeböck, Helmut Prosch, Georg Langs
Pubblicato in: Lecture Notes in Computer Science, Machine Learning in Medical Imaging, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-09513-8_34

Automatic Dataset Shift Identification to Support Safe Deployment of Medical Imaging AI

Autori: Mélanie Roschewitz; Raghav Mehta; Charles Jones; Ben Glocker
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783032049803, 2025
Editore: Springer Nature
DOI: 10.48550/ARXIV.2411.07940

Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery

Autori: Jeanny Pan, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Jennifer Straub, Lucian Beer, Helmut Prosch, Georg Langs
Pubblicato in: Lecture Notes in Computer Science, Applications of Medical Artificial Intelligence, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-09569-5_31

Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis

Autori: Tian Xia, Matthew Sinclair, Andreas Schuh, Fabio De Sousa Ribeiro, Raghav Mehta, Rajat Rasal, Esther Puyol-Antón, Samuel Gerber, Kersten Petersen, Michiel Schaap, Ben Glocker
Pubblicato in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-04937-7_50

Exploring the Interplay of Label Bias with Subgroup Size and Separability: A Case Study in Mammographic Density Classification

Autori: Emma A. M. Stanley, Raghav Mehta, Mélanie Roschewitz, Nils D. Forkert, Ben Glocker
Pubblicato in: Lecture Notes in Computer Science, Fairness of AI in Medical Imaging, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-05870-6_8

Peer reviewed articles (3)

A personalized iodine delivery rate-based injection protocol in coronary angiography on photon-counting CT

Autori: Busselot, Tim; Giordano, Pierpaolo; Sneyers, Vincent; Coudyzer, Walter; Torfs, Kwinten; Adriaenssens, Tom; Bosmans, Hilde; Dymarkowski, Steven
Pubblicato in: European Radiology, 2026, ISSN 1432-1084
Editore: Springer
DOI: 10.1007/S00330-026-12413-X

MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach

Autori: Alexander Herold; Daniel Sobotka; Lucian Beer; Nina Bastati; Sarah Poetter-Lang; Michael Weber; Thomas Reiberger; Mattias Mandorfer; Georg Semmler; Benedikt Simbrunner; Barbara D. Wichtmann; Sami A. Ba-Ssalamah; Michael Trauner; Ahmed Ba-Ssalamah; Georg Langs
Pubblicato in: European Radiology Experimental, 2025, ISSN 2509-9280
Editore: Springer
DOI: 10.48550/ARXIV.2510.08039

AI-driven tools for the prediction of obesity-related vascular diseases: stakeholder perspectives and challenges

Autori: Kaatje Goossens, Pascal Borry, Tessa Marie Forehand, Eva Van Steijvoort
Pubblicato in: Frontiers in Public Health, Numero 13, 2025, ISSN 2296-2565
Editore: Frontiers Media SA
DOI: 10.3389/FPUBH.2025.1713882

Conference proceedings (1)

CF-Seg: Counterfactuals Meet Segmentation

Autori: Raghav Mehta, Fabio De Sousa Ribeiro, Tian Xia, Mélanie Roschewitz, Ainkaran Santhirasekaram, Dominic C. Marshall & Ben Glocker
Editore: Springer Nature
DOI: 10.1007/978-3-032-04984-1_12