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SynTrustBench: An Evidence-Gated and Executable Benchmark for Trustworthiness Claims in Synthetic Clinical Data

2026-08-10

Abstract excerpt

Synthetic clinical data are increasingly used for healthcare machine-learning development, model validation, data sharing, and predeployment testing, yet such data often claim to be trustworthy after passing a limited collection of realism tests. A synthetic dataset may indeed claim statistical similarity while leaking training membership, erasing rare subgroups, failing on held-out real patients, or lacking suffi...

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Literature Corpus work
7188cce4-4d50-5148-8c94-6579e0bcc2ad
DOI
10.64898/2026.08.05.26359803
Open publication

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