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    "story_id": "mp-2026-10-15-019",
    "source_story_id": "tmp-brief-brain-mri-embedding-privacy",
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    "position": 21,
    "story_type": "ticker",
    "section": "safety-security",
    "editorial_classification": "editorial",
    "headline": "Brain Embeddings Still Identify the Patient",
    "slug": "brain-embeddings-still-identify-the-patient",
    "dek": "Five frozen medical-image encoders retain enough subject signal for linkage above 90 percent in the highest-risk representations.",
    "summary": "Five frozen medical-image encoders retain enough subject signal for linkage above 90 percent in the highest-risk representations.",
    "body_text": "With public encoders and auxiliary scans, the evaluated attacker reaches up to 99 percent rank-one linkage on MIRIAD and above 90 percent on OASIS-2, while recorded-sex prediction reaches 90.9 and 95.5 percent balanced accuracy. Learned representations alone do not establish anonymity.",
    "why_it_matters": "Five frozen medical-image encoders retain enough subject signal for linkage above 90 percent in the highest-risk representations.",
    "limitations": [
      "Learned representations alone do not establish anonymity."
    ],
    "importance": 7,
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    "first_published_at": "2026-10-15T09:00:00.000-04:00",
    "modified_at": "2026-10-15T09:00:00.000-04:00",
    "content_status": "updated",
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    "carryover_reason": null,
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        "text": "Five frozen medical-image encoders retain enough subject signal for linkage above 90 percent in the highest-risk representations.",
        "source_ids": [
          "source-2026-10-15-021"
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        "qualification": "Learned representations alone do not establish anonymity."
      }
    ],
    "source_ids": [
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    "tags": [
      "medical imaging",
      "privacy",
      "embeddings"
    ],
    "image_url": null,
    "corrections": [
      {
        "correction_id": "correction-2026-10-15-001",
        "revision": 2,
        "summary": "Publication note: This October 15 edition was prepared before its scheduled 9:00 AM America/Detroit reveal, but publication was delayed by a production build failure. The original reporting and image-generation timestamps are preserved.",
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    {
      "source_id": "source-2026-10-15-021",
      "title": "arXiv preprint 2610.20494, original v1",
      "publisher": "arXiv / submitting research authors",
      "url": "https://arxiv.org/abs/2610.20494v1",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-14T13:03:42.000-04:00",
      "accessed_at": "2026-10-15T08:28:29.903-04:00",
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  "corrections": [
    {
      "correction_id": "correction-2026-10-15-001",
      "revision": 2,
      "summary": "Publication note: This October 15 edition was prepared before its scheduled 9:00 AM America/Detroit reveal, but publication was delayed by a production build failure. The original reporting and image-generation timestamps are preserved.",
      "published_at": "2026-10-15T09:00:00.000-04:00",
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    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "Brain Embeddings Still Identify the Patient",
    "publisher": "The Machine Press",
    "published_at": "2026-10-15T09:00:00.000-04:00",
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