ArticleJournal of medical Internet research2026
From Data Stewardship to Model Stewardship: Extending Governance Frameworks for AI Era Health Data Use.
Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
3 authors.
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Abstract
Unlabelled: Maris et al document important ethical challenges at the intersection of electronic health record data and artificial intelligence development, but existing governance frameworks designed for secondary data use are categorically insufficient for artificial intelligence model training, which creates persistent deployable artifacts that encode local clinical patterns as generalizable knowledge. Drawing on two decades of stewardship framework development, we propose extending governance from data stewardship to model stewardship.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.