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The Multimodal Anonymizer: a fully local multi-agent AI system for medical data deidentification

Hirsch, A. et al.
bioRxiv / medRxiv · Papers
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health-informatics
Multimodal clinical data contain identifiers across diverse formats. We developed the Multimodal Anonymizer, a locally deployable framework combining multimodal language models, specialist networks, deterministic transformations and iterative verification. We compared 16 orchestrator configurations
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