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Tampered medical images can fool both AI and radiologists

A team led by Qianwei Zhou, PhD, from the Zhejiang University in China found that an AI model was fooled by over two-thirds of fake breast images, making them prone to cyberattacks and highlighting the need for safety measures in AI.

“From a diagnosis perspective, the imaging characteristics of the diagnosis-sensitive contents are of particular relevance and importance for researchers and clinicians towards building robust and safe medical imaging diagnosis AI systems,” said co-author Shandong Wu, PhD, from the University of Pittsburgh to

AI’s potential for breast…

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