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 .

Pubblicazioni

Peer reviewed articles (14)

Generating unseen diseases patient data using ontology enhanced generative adversarial networks

Autori: Chang Sun 0001; Michel Dumontier
Pubblicato in: npj Digital Medicine, 2025, ISSN 2398-6352
Editore: Springer Nature (Nature Portfolio)
DOI: 10.1038/S41746-024-01421-0

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

Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges

Autori: Mahmoud K. Ibrahim; Yasmina Al Khalil; Sina Amirrajab; Chang Sun 0001; Marcel Breeuwer; Josien P. W. Pluim; Bart Elen; Gökhan Ertaylan; Michel Dumontier
Pubblicato in: Computers in Biology and Medicine, 2025, ISSN 1879-0534
Editore: Elsevier
DOI: 10.48550/ARXIV.2407.00116

Tight Glycemic Control Can Be Achieved in Adult ICU Patients Safely: Results From a 5-Year Single-Center Observational Study Using the STAR Glycemic Control Framework

Autori: Marie Seret, Vincent Uyttendaele, J. Geoffrey Chase, Geoffrey M Shaw, Thomas Desaive
Pubblicato in: Journal of Diabetes Science and Technology, ISSN 1932-2976
Editore: Sage
DOI: 10.1177/193229682514128

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 DEFORMISE: A deep learning framework for dementia diagnosis in the elderly using optimized MRI slice selection

Autori: Nikolaos Ntampakis, Konstantinos Diamantaras, Ioanna Chouvarda, Vasileios Argyriou, Panagiotis Sarigiannidis
Pubblicato in: Biomedical Signal Processing and Control, Numero 113, 2025, ISSN 1746-8094
Editore: Elsevier BV
DOI: 10.1016/J.BSPC.2025.109151

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

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, Gökhan Ertaylan, Michel Dumontier
Pubblicato in: Computers in Biology and Medicine, Numero 189, 2026, ISSN 0010-4825
Editore: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2025.109834

BMC Medical Ethics

Autori: Ratti, E; Morrison, M; Jakab, I
Pubblicato in: BMC Medical Ethics, 2025, ISSN 1472-6939
Editore: BioMed Central
DOI: 10.1186/S12910-025-01198-1

User acceptability of blockchain technology for enabling electronic health record exchange

Autori: Lilly Marie Baltruschat, Vikas Jaiman, Visara Urovi
Pubblicato in: Journal of Systems and Information Technology, Numero 25, 2025, ISSN 1328-7265
Editore: Emerald
DOI: 10.1108/JSIT-09-2022-0225

Deep Learning of Multimodal Ultrasound: Stratifying the Response to Neoadjuvant Chemotherapy in Breast Cancer Before Treatment

Autori: Jionghui Gu, Xian Zhong, Chengyu Fang, Wenjing Lou, Peifen Fu, Henry C Woodruff, Baohua Wang, Tianan Jiang, Philippe Lambin
Pubblicato in: The Oncologist, Numero 29, 2024, ISSN 1083-7159
Editore: Oxford University Press (OUP)
DOI: 10.1093/ONCOLO/OYAD227

Other (5)

RAG-Enhanced LLM Pipeline for Semantic Mapping of Context-based Features to OMOP Vocabulary

Autori: Kakkamani, S., JUNG, F., Verbiest, J., & PEETERS, L.
Pubblicato in: European OHDSI Symposium 2025
Editore: OHDSI Europe
DOI: 10.5281/ZENODO.18789039

Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial

Autori: Xian Zhong; Zohaib Salahuddin; Yi Chen; Henry C. Woodruff; Haiyi Long; Jianyun Peng; Nuwan Udawatte; Roberto Casale; Ayoub Mokhtari; Xiaoer Zhang; Jiayao Huang; Qingyu Wu; Li Tan; Lili Chen; Dongming Li; Xiaoyan Xie; Manxia Lin; Philippe Lambin
Pubblicato in: CoRR, 2024
Editore: arXiv (Cornell University Library)
DOI: 10.48550/ARXIV.2408.03771

Enhancing transparency in AI for healthcare with OMOP Model Card reporting

Autori: JUNG, F., Lohachab, A., Madureira Sanches Ribeiro, G., Rommes, S., Urovi, V., Sun, C., & Ertaylan, G.
Pubblicato in: European OHDSI Symposium 2025
Editore: OHDSI Europe
DOI: 10.5281/ZENODO.18788825

RIANA Dashboard: A Blockchain-Enabled Approach for Representing AI Model Intent in OMOP with Atlas-Like Functionality

Autori: JUNG, F., Madureira Sanches Ribeiro, G., Lohachab, A., Rommes, S., Urovi, V., Sun, C., Ertaylan, G., & Attipoe, A.
Pubblicato in: European OHDSI Symposium 2025
Editore: OHDSI Europe
DOI: 10.5281/ZENODO.18788892

REALM – innovative solutions for the creation and evaluation of AI medical device software

Autori: JUNG, F., Sun, C., Ibrahim, M., & Ertaylan, G.
Pubblicato in: European OHDSI Symposium 2024 , Rotterdam
Editore: OHDSI Europe
DOI: 10.5281/ZENODO.18788473

Book chapters (3)

Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting

Autori: Georgios Tsoumplekas; Ilias Siniosoglou; Vasileios Argyriou; Ioannis D. Moscholios; Panagiotis G. Sarigiannidis
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783031672842, 2024
Editore: Springer Nature (Springer)
DOI: 10.48550/ARXIV.2405.20430

A Blockchain-Based Approach for Model Card Accountability and Regulatory Compliance

Autori: Ankur Lohachab, Visara Urovi
Pubblicato in: Lecture Notes in Business Information Processing, Advanced Information Systems Engineering Workshops, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-61003-5_4

Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction

Autori: Nikolaos Ntampakis, Konstantinos Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda, Vasileios Argyriou, Panagiotis Sarigiannidis
Pubblicato in: Lecture Notes in Computer Science, Medical Image Understanding and Analysis, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-66958-3_24

Conference proceedings (4)

AI Deployment in Medical Devices-Ethical and Regulaltory Reflections, Beyond Data Protection and Bias – EU perspective

Autori: Tomasz Braun, Dominika Ewa Harasimiuk
Pubblicato in: 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2023
Editore: IEEE
DOI: 10.1109/CIBCB56990.2023.10264892

Open research datasets harmonized to the OMOP CDM can be used to evaluate COPD AI models

Autori: JUNG, F., Sakkalis, V., Sun, C., Ibrahim, M., & Ertaylan, G.
Pubblicato in: European OHDSI Symposium 2024, Rotterdam
Editore: OHDSI Europe
DOI: 10.5281/ZENODO.18783801

Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting

Autori: Georgios Tsoumplekas, Ilias Siniosoglou, Vasileios Argyriou, Ioannis D. Moscholios, Panagiotis Sarigiannidis
Pubblicato in: Lecture Notes in Computer Science, Artificial Intelligence in Healthcare, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-67285-9_22

Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical Data

Autori: Nikolaos Ntampakis, Konstantinos Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda
Pubblicato in: 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE), 2024
Editore: IEEE
DOI: 10.1109/BIBE60311.2023.00066