Maziyar Panahi's OpenMed used a planted potassium error in a synthetic note to show a brief returning no text rather than passing a contradiction to review.
By [RuntimeWire Staff](https://runtimewire.com/author/runtimewire-staff)
· Published
Primary source: [Aligned News — AI Intelligence](https://x.com/OpenMed_AI/status/2119422183692779529)
Why it matters #
Discharge summaries carry lab values and treatment history into the next setting of care, so a generated brief that contradicts its own citation can mislead the next clinician. OpenMed's demo shows a local, open-source pipeline choosing refusal over a polished but wrong draft, while keeping final approval with a human reviewer.
OpenMed, the open-source clinical NLP project created by Maziyar Panahi, withheld a draft discharge brief in a planted-error demonstration after a local natural language inference model found that the brief contradicted the note it cited.…
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