Friday, Jul 24, 2026 The claims desk. Receipts included. POWERED BY LENZ
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HEALTH

The Claim

In controlled tests, fewer than half of experienced radiologists were able to reliably detect AI-generated deepfake X-ray images.

The Short Version

The claim conflates two different study conditions. When radiologists were not told deepfakes were present, only 41% spontaneously flagged something unusual — but this measures unprompted suspicion, not detection accuracy. When explicitly told synthetic images were included (the standard controlled detection task), radiologists achieved 75% mean accuracy, well above the "fewer than half" threshold. The claim cherry-picks the lower figure and mischaracterizes it as a controlled detection result.

Caveats

  • The 41% figure reflects unprompted suspicion ('noticed anything unusual'), not a controlled discrimination accuracy test — equating the two is misleading.
  • The same study reports 75% mean accuracy when radiologists were told synthetic images were present, directly contradicting the 'fewer than half' framing.
  • All three supporting sources appear to report on the same single study, so the apparent convergence of evidence is less robust than it seems.

The Receipts

  1. Deepfake X-Rays Fool Radiologists and AI - RSNA

    RSNA

  2. Deepfake X-rays are so real even doctors can't tell the difference | ScienceDaily

    ScienceDaily

  3. AI-Generated Medical Images Deceive Even Top Radiologists - Neuroscience News

    Neuroscience News

  4. Artificial Intelligence in Clinical Medicine: Challenges Across Diagnostic Imaging, Clinical Decision Support, Surgery, Pathology, and Drug Discovery - PMC

    PMC

Filed Under

AI-generated deepfake X-ray imagesradiologists

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