Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases

Información del proyecto

AI-POD

Identificador del acuerdo de subvención: 101080302

DOI

10.3030/101080302

Fecha de la firma de la CE 24 Marzo 2023

Fecha de inicio 1 Mayo 2023

Fecha de finalización 30 Abril 2027

Financiado con arreglo a

• Health

Coste total

€ 5 292 785,75

Aportación de la UE

€ 5 292 785,75

Coordinado por

MEDIZINISCHE UNIVERSITAET WIEN
Austria

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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 (6)

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

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 (1)

Comprehensive photon-counting CT protocol

Optimized, comprehensive photon-counting CT protocol for cardiovascular imaging

Publicaciones

Peer reviewed articles (1)

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

Autores: Kaatje Goossens, Pascal Borry, Tessa Marie Forehand, Eva Van Steijvoort
Publicado en: Frontiers in Public Health, Edición 13, 2025, ISSN 2296-2565
Editor: Frontiers Media SA
DOI: 10.3389/FPUBH.2025.1713882