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

Informazioni relative al progetto

REALM

ID dell’accordo di sovvenzione: 101095435

DOI

10.3030/101095435

Data della firma CE 24 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2026

Finanziato da

• Health

Costo totale

€ 6 659 650,00

Contributo UE

€ 6 659 650,00

Coordinato da

UNIVERSITEIT MAASTRICHT
Netherlands

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

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.

Pubblicazioni

Peer reviewed articles (6)

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

Autori: Babu C. S., Holsinger F.C., Zuchowski L/, Ratti E., Rameau A.
Pubblicato in: American Academy of Otolaryngology—Head and Neck Surgery Foundation, 2023, ISSN 2644-1276
Editore: 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

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

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

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

Science and values: a two-way direction

Autori: Emanuele Ratti, Federica Russo
Pubblicato in: European Journal for Philosophy of Science, 2024, ISSN 2644-1276
Editore: Springer
DOI: 10.1007/s13194-024-00567-8

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

Autori: Avigail Ferdman & Emanuele Ratti
Pubblicato in: Science and Engineering Ethics, 2024, ISSN 2644-1276
Editore: 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

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