all InfoSec news
Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education. (arXiv:2307.09426v1 [cs.AI])
cs.CR updates on arXiv.org arxiv.org
The advancement of biomedical research heavily relies on access to large
amounts of medical data. In the case of histopathology, Whole Slide Images
(WSI) and clinicopathological information are valuable for developing
Artificial Intelligence (AI) algorithms for Digital Pathology (DP).
Transferring medical data "as open as possible" enhances the usability of the
data for secondary purposes but poses a risk to patient privacy. At the same
time, existing regulations push towards keeping medical data "as closed as
necessary" to avoid re-identification …
access advancement algorithms artificial artificial intelligence biomedical case data digital education images information intelligence large medical medical data privacy progress research