This public comment proposes Modular Synthetic Clinical Environment Qualification (MSCEQ), a framework for independently qualifying reusable synthetic clinical environments before using them to evaluate generative AI-enabled medical devices. Environments would represent specific clinical settings, including changing pa...
Melinda Bernabe Chu· Zenodo (CERN European Organi...· 0 citations
Machine-readable watermarks and model-side provenance metadata answer one question: whether a generative system participated in a text, proof, or code artifact. They do not answer the questions that determine inventorship, academic credit, and institutional ownership: what a human conceived, contributed, decided, rejec...
Melinda B. Chu· Zenodo (CERN European Organi...· 0 citations
Background: Competitive intelligence work is routinely scattered across company websites, press releases, industry publications, patent and funding databases, and news feeds. Most organizations still assemble this picture by hand, in spreadsheets and static slide decks that are out of date the moment they are finished....
Sanvi Agarwal, Melinda B. Chu· Zenodo (CERN European Organi...· 0 citations
Background: Competitive intelligence work is routinely scattered across company websites, press releases, industry publications, patent and funding databases, and news feeds. Most organizations still assemble this picture by hand, in spreadsheets and static slide decks that are out of date the moment they are finished....
Sanvi Agarwal, Melinda B. Chu· Zenodo (CERN European Organi...· 0 citations
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