Medical AI and radiologist experts may be vulnerable to adve

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.

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Shandong Wu , Emily Henderson , Nature Communications , Pittsburgh Center , University Of Pittsburgh , Intelligent Computing For Clinical Imaging Lab , Drug Administration , Intelligent Computing , Clinical Imaging Lab , Cancer , Artificial Intelligence , Ioengineering , Breast Cancer , Cancer Diagnosis , Hospital , Maging , Mh , Radiology , Research ,