Options
Maalouf, Eliane
Nom
Maalouf, Eliane
Affiliation principale
Site web
Fonction
Assistante-Doctorante
Email
eliane.maalouf@unine.ch
Identifiants
Résultat de la recherche
Voici les éléments 1 - 6 sur 6
- PublicationAccès libreQuality & risk management of ethical AI use in human health research(2025-04)
; ;Marie-annick Le PogamThe development of Artificial Intelligence/Machine Learning (AI/ML) has acceler-ated significantly, attracting public attention and investment. While AI promises to revolution-ize healthcare and health research with more accurate diagnostics, personalized treatments, and streamlined processes, it also poses risks to fundamental rights and raises concerns about trustworthiness. Regulatory bodies like the EU are responding with frameworks such as the "AI Act," which establishes different risk levels for AI systems, categorizing medical devices using AI as high-risk but exempting scientific research. Despite increasing use of AI in health re-search, as evidenced by rising approvals for AI-related projects, there is a lack of specific guid-ance on how health research stakeholders should practically assess and monitor AI systems within their ethical obligations. This absence of clear guidance can lead to quality issues in health-AI research. In this policy brief we explore the complexity of quality and risk assessment of AI system to validate their ethical use. We also propose recommendations for action in order to manage this complexity throughout the research project lifecycle and beyond. - PublicationAccès libreSwiss Health Metadata Repository: prototype evaluation(Université de Neuchâtel Institut du management de l'information, 2021-6-30)
; ; - PublicationAccès libreSwiss health metadata repository : implementation recommendations - requirements, recommended architecture and prototype implementation(Université de Neuchâtel Institut du management de l'information, 2021-6-1)
; ; ; In the context of a decentralized approach for health data resources, a central metadata repository becomes essential for the identification/description of the necessary resources. A Swiss Health Metadata Repository is expected to enable multiple advantages, namely: to provide a single entry point for searching/retrieving health-related resources; to help identify possible semantic linking between data sources; to provide a consistent data catalog ensured by the use of standardized vocabularies/ontologies; to enable potential exchange of experience and know-how between health data-related projects in Switzerland; and to increase the capacity of research groups to share/access/analyse health related data. This policy brief focuses on the implementation aspects of a proof-of-concept proto-type for Swiss Health Metadata Repository. - PublicationAccès libreDesign principles of a central metadata repository as a key element of an integrated health information system(Université de Neuchâtel Institut du management de l'information, 2020-1-31)
; ; ; The Swiss Health System is a complex system with different groups of actors for which data is collected and analyzed using various methods, leading to a large heterogeneity and dispersion of available data. The specificities of a Swiss Health System favor a hybrid infrastructure to manage the heterogeneity and dispersion of Swiss health-related data. This policy brief shows the importance of a metadata management infrastructure to identify and describe health data resources and highlights several essential key elements for the design of a metadata repository and also raises important practical questions. - PublicationAccès libre
- PublicationAccès libre