Patient identification methods based on medical imagery and their impact on patient privacy and open medical data

Abstract

In this paper, we provide an overview of techniques for human subject identification from biomedical signals, highlighting the potential threat for patient privacy considering public repositories of medical data. After an in-depth review of lesser known approaches, we conclude that performing a disentanglement and elimination of the identity related attributes from the medical image data is a potential solution for this problem.