An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototype
Despite its marginal acceptability, G1 shows potential in automating data curation into a personal health knowledge graph, but it has not reached full maturity yet. G1 deployed very early prototypes of tools planned for the second-generation (G2) prototype, which may have contributed to the lower usability and explainability/causability scores. Conversely, patient interest in AIDAVA-like technology seems quite high at this stage of development, likely due to the promising potential of data curation and data publication technology. Improvements in the library of data curation and publishing tools are planned for G2 and are necessary to fully realize the value of the AIDAVA solution.
Authors
- André Dekker (ORCID: https://orcid.org/0000-0002-0422-7996)
- Markus Kreuzthaler (ORCID: https://orcid.org/0000-0001-9824-9004)
- Remzi Çelebi (ORCID: https://orcid.org/0000-0001-7769-4272)
- Laura Hochstenbach (ORCID: https://orcid.org/0000-0003-2854-1055)
- Markus Plass (ORCID: https://orcid.org/0000-0003-2718-7648)
- Petros Kalendralis (ORCID: https://orcid.org/0000-0002-4471-2021)
- Michaela Kargl (ORCID: https://orcid.org/0000-0001-8431-9710)
- Martin Benedikt (ORCID: https://orcid.org/0000-0003-2652-6812)
- Isabelle de Zegher (ORCID: https://orcid.org/0000-0003-4514-7578)
- Wenjie Liang (ORCID: https://orcid.org/0000-0002-2741-8285)
- Arnoud W.J. van ‘t Hof (ORCID: https://orcid.org/0000-0002-2344-7564)
- Kerli Norak
- R. van Mierlo
- Mall Maasik
- Anne-Lore Bynens
Institutions
- Tallinn University of Technology (EE)
- Royal Museum for Central Africa (BE)
- Medical University of Graz (AT)
- Maastricht University Medical Centre (NL)
- Maastricht University (NL)
- North Estonia Medical Centre (EE)
- Zuyderland Medisch Centrum (NL)
- Maastro Clinic (NL)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3389/fdgth.2025.1629413
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65
Funders
- European Commission
- HORIZON EUROPE Framework Programme
- Staatssekretariat für Bildung, Forschung und Innovation