A regulatory medical device dataset with risk labels and an image-linked subset from the NMPA registry

A regulatory medical device dataset with risk labels and an image-linked subset from the NMPA registry | Research Square Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF data-descriptor A regulatory medical device dataset with risk labels and an image-linked subset from the NMPA registry Yu Han, Aaron Ceross, Jeroen H.M. Bergmann This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9168242/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 11 You are reading this latest preprint version Abstract We present NMPA-MedDevice, a regulatory dataset derived from China's National Medical Products Administration (NMPA) Unique Device Identification (UDI) registry. The release comprises four components: (1) a frozen raw snapshot of the NMPA UDI registry (66,472 records, July 2024); (2) a reproducibly cleaned text-and-metadata corpus of approximately 52,000 unique device records with risk class labels deterministically derived from the ninth character of the NMPA registration number; (3) a curated image-linked subset of 1,005 devices (Class I/II/III, 39/462/504) with precomputed text and image feature embeddings; and (4) an external temporal validation set of 300 devices from a later registry update (October--November 2025). All textual data, derived labels, the cleaned corpus, preprocessing scripts, dataset splits, and precomputed features are publicly deposited. Raw product images are not redistributed due to copyright restrictions; precomputed embeddings and image retrieval scripts are provided instead. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 24 Jun, 2026 Reviews received at journal 28 May, 2026 Reviews received at journal 18 May, 2026 Reviewers agreed at journal 11 May, 2026 Reviewers agreed at journal 11 May, 2026 Reviewers agreed at journal 13 Apr, 2026 Reviewers invited by journal 08 Apr, 2026 Editor invited by journal 30 Mar, 2026 Editor assigned by journal 30 Mar, 2026 Submission checks completed at journal 24 Mar, 2026 First submitted to journal 19 Mar, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information

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