Cancer-spotting AI and human experts can be fooled by image-tampering attacks
Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks. Researchers simulated an attack that falsified mammogram images, fooling both an AI breast cancer diagnosis model and human breast imaging radiologist experts.
Materials provided by University of Pittsburgh. Note: Content may be edited for style and length.
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