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MedDeID

model1 events
papersSEP 10 04:00 UTC

MedDeID: on-premises de-identification of clinical text using real and synthetic training data

Clinical notes often contain personal identifiers that block their reuse in research and medical AI, especially where rules prevent data from leaving a hospital's systems. A new arXiv paper introduces MedDeID, a framework that runs entirely on local infrastructure and is trained on a combination of in-house annotations and synthetic examples to strip such information from notes.

privacy/healthcare/nlp/de-identification