However, that researchers were able to create malware capable of exploiting vulnerabilities in CT and MRI scanners in order to either add or delete tumors from the imaging takes this insecurity problem to a disturbing new level. Yisroel Mirsky, Tom Mahler, Ilan Shelef, Yuval Elovici have published a paper that shows how they were able to use "deep-learning to add or remove evidence of medical conditions from volumetric (3D) medical scans." They concentrated on "injecting and removing lung cancer from CT scans" and were able to fool three expert radiologists. The researchers used real lung scans and manipulated 70 of them remotely using the malware. Worse yet, AI-driven software used to automatically screen such scans was fooled 100% of the time.

Source: Forbes April 05, 2019 11:03 UTC