An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototype

IntroductionEnsuring high quality and reusability of personal health data is costly and time-consuming. An AI-powered virtual assistant for health data curation and publishing could support patients to ensure harmonization and data quality enhancement, which improves interoperability and reusability...

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Bibliografiset tiedot

Päätekijät:	Rutger van Mierlo, Wenjie Liang, Kerli Norak, Michaela Kargl, Mall Maasik, Anne-Lore Bynens, Markus Plass, Markus Kreuzthaler, Martin Benedikt, Laura Hochstenbach, Arnoud van 't Hof, Remzi Celebi, Andre Dekker, Isabelle de Zegher, Petros Kalendralis, the AIDAVA consortium, Alexander Kreutz, Alpár Tana, Aranka Ravai-Nagy, Bart Scheenstra, Béla Bihari, Botond Kiss, Dominik Steiger, Elion Sõber, Emmanuel Benoist, Eno-Martin Lotman, Erol Ensar, Gleb Klimenkov, Gregorio Sambataro, Heimo Müller, István Horváth, János Dániel Dallos, Katerina Zdravkova Serafimova, Katrin Lepik, Kertu Mõistlik, Kristian Kankainen, Liesbeth Boersma, Lóránt Ferencz, Michel Dumontier, Monika Moga, Natalja Šermolajeva, Sina Amirrajab, Svetla Boytcheva, Todor Primov, Zoltán Lázár, Zsolt Máté
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2025-10-01
Sarja:	Frontiers in Digital Health
Aiheet:	data curation interoperability reusability usability explainability causability
Linkit:	https://www.frontiersin.org/articles/10.3389/fdgth.2025.1629413/full
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