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AI-Generated X-Rays Can Fool Radiologists, Peer-Reviewed Study Finds

Researchers urge provenance tools to verify scans at the moment of capture.

Overview

  • A peer-reviewed Radiology study tested 264 X-rays with 17 radiologists from six countries and found synthetic images often passed as real.
  • Doctors detected fakes only 41% when unaware, improving to about 75% after being told that synthetic images were included.
  • Large AI models from OpenAI, Google, and Meta showed uneven detection, with accuracy ranging from roughly 52% to 89%.
  • Researchers cataloged recurring tells such as overly smooth bones, unnaturally straight spines, and uniform vessel patterns, and released a training dataset with quizzes.
  • To curb misuse in courts and hospitals, the authors call for image provenance at capture using invisible watermarks or cryptographic signatures and warn synthetic CT and MRI are likely next.