Relay learning: a physically secure framework for clinical multi-site deep learning.

ABSTRACT: Big data serves as the cornerstone for constructing real-world deep learning systems across various domains. In medicine and healthcare, a single clinical site lacks sufficient data, thus necessitating the involvement of multiple sites. Unfortunately, concerns regarding data security and privacy hinder the sharing and reuse of data across sites. Existing approaches to multi-site clinical learning heavily depend on the security of the network firewall and system implementation. To address this issue, we propose Relay Learning, a secure deep-learning framework that physically isolates clinical data from external intruders while still leveraging the benefits of multi-site big data. We demonstrate the efficacy of Relay Learning in three medical tasks of different diseases and anatomical struct

SUBMITTER: Bo ZH 

PROVIDER: S-EPMC10625523 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature