Deep Learning threatens 3D medical imaging integrity.

Researchers at Ben Gurion University in Israel have developed techniques to infiltrate medical imaging system networks and alter 3D medical scans within, fooling both human and automated examiners with a high rate of success.  Yisroel Mirsky is a cybersecurity researcher and project manager at Ben Gurion University, and he joins us to share what his team discovered. The original research can be found here: https://arxiv.org/pdf/1901.03597.pdf A video demonstrating the exploit is here: https://youtu.be/_mkRAArj-x0