Nature Communications (Dec 2021)

A machine and human reader study on AI diagnosis model safety under attacks of adversarial images

  • Qianwei Zhou,
  • Margarita Zuley,
  • Yuan Guo,
  • Lu Yang,
  • Bronwyn Nair,
  • Adrienne Vargo,
  • Suzanne Ghannam,
  • Dooman Arefan,
  • Shandong Wu

DOI
https://doi.org/10.1038/s41467-021-27577-x
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 11

Abstract

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While active efforts are advancing medical AI model development and clinical translation, safety issues of medical AI models have emerged. Here, the authors investigate the effects on an AI model and on human experts of potential fake/adversarial images for breast cancer diagnosis.