Real-world-data Enabled Assessment for heaLth regulatory decision-Making

Informations projet

REALM

N° de convention de subvention: 101095435

DOI

10.3030/101095435

Date de signature de la CE 24 Novembre 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2026

Financé au titre de

• Health

Coût total

€ 6 659 650,00

Contribution de l’UE

€ 6 659 650,00

Coordonné par

UNIVERSITEIT MAASTRICHT
Netherlands

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (2)

Authorized access agreements with European Medical Data Pools and DT

In this deliverable we aim to bridge REALM’s data infrastructure with ongoing (and completed) European projects with standardized medical data component, Digital Twins Platforms, In-Silico trial technologies and restricted access biobanks.

Data Management Plan

The DMP describes the data management life cycle for the data to be collected, processed and/or generated. As part of making research data findable, accessible, interoperable and re-usable (FAIR), the DMP will include information on:- the handling of research data during & after the end of the project- what data will be collected, processed and/or generated- which methodology & standards will be applied- whether data will be shared/made open access and how data will be curated & preserved (including after the end of the project).

Websites, patent fillings, videos etc. (1)

Public project website

The website will inform the public about the project’s aims, updates and results. The website will be continuously updated throughout the project’s lifetime. Links to social media will be implemented as well.

Publications

Peer reviewed articles (6)

Epistemological Challenges of Artificial Intelligence Clinical Decision Support Tools in Otolaryngology: The Black Box Problem

Auteurs: Babu C. S., Holsinger F.C., Zuchowski L/, Ratti E., Rameau A.
Publié dans: American Academy of Otolaryngology—Head and Neck Surgery Foundation, 2023, ISSN 2644-1276
Éditeur: American Academy of Otolaryngology—Head and Neck Surgery Foundation
DOI: 10.1002/ohn.410

Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges

Auteurs: Mahmoud Ibrahim, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien Pluim, Bart Elen, Gokhan Ertaylan, Michel Dumontier
Publié dans: arXiv, 2024, ISSN 2644-1276
Éditeur: arXiv
DOI: 10.48550/arXiv.2407.00116

Using Generative Artificial Intelligence in the Production and Dissemination of Innovation in Otolaryngology—Ethical Considerations

Auteurs: Carolyn Jane Khoury BA, Necati Enver MD, FEBORL-HNS, Alberto Paderno MD, PhD, Emanuele Ratti PhD, Anaïs Rameau MD, MPhil, MS FACS
Publié dans: American Academy of Otolaryngology—Head and Neck Surgery Foundation, 2023, ISSN 2644-1276
Éditeur: American Academy of Otolaryngology—Head and Neck Surgery Foundation
DOI: 10.1002/ohn.601

Science and values: a two-way direction

Auteurs: Emanuele Ratti, Federica Russo
Publié dans: European Journal for Philosophy of Science, 2024, ISSN 2644-1276
Éditeur: Springer
DOI: 10.1007/s13194-024-00567-8

What Do We Teach to Engineering Students: Embedded Ethics, Morality, and Politics

Auteurs: Avigail Ferdman & Emanuele Ratti
Publié dans: Science and Engineering Ethics, 2024, ISSN 2644-1276
Éditeur: Springer
DOI: 10.1007/s11948-024-00469-1

Introducing SPINE: A Holistic Approach to Synthetic Pulmonary Imaging Evaluation through End-to-End Data and Model Management

Auteurs: Nikolaos Ntampakis, Vasileios Argyriou, Konstantinos Diamantaras, Konstantinos Goulianas, Panagiotis Sarigiannidis, Ilias Siniosoglou
Publié dans: IEEE Open Journal of Engineering in Medicine and Biology, 2024, ISSN 2644-1276
Éditeur: IEEE
DOI: 10.1109/OJEMB.2024.3426910