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News/EdgeDeID: A 0.6B Clinical De-identifier Trained Without Real Patient Data
arxiv
PublishedOctober 27, 2026 at 4:00 AM

EdgeDeID: A 0.6B Clinical De-identifier Trained Without Real Patient Data

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arXiv:2610.33839v1 Announce Type: new Abstract: De-identifying clinical notes with a hosted language model discloses the information the step is meant to protect. We present EdgeDeID, a 0.6B-parameter decoder-only de-identifier that runs locally and is trained without real patient text: three LLM te

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