Researchers Show How Hackers Can Dupe Radiologists and A.I. Software
Hackers can access a patient’s 3-D medical scans to add or remove malignant lung cancer, and overwhelmingly deceive both radiologists and artificial intelligence algorithms used to aid diagnosis, according to a new study published by Ben-Gurion University of the Negev cybersecurity researchers.
A 3-D CT (computerized tomography) scan combines a series of X-Ray images taken from different angles around the body and uses computer processing to create cross-sectional images (slices) of the bones, blood vessels and soft tissues. CT scan images provide more detailed information than standard X-Rays, and are used to diagnose cancer, heart disease, infectious diseases, and more. An MRI (magnetic resonance imaging) scan is similar, but uses powerful magnetic fields to diagnose bone, joint, ligament, and cartilage conditions.