Federated analysis for critical care: opportunities and challenges for research
Abstract
INTRODUCTION Single-center studies and locally trained models are often underpowered and non-generalizable, steering researchers to establish collaborations to increase reproducibility.() Traditionally, such collaborations have relied on institutions sending their data to a coordinating center for analysis or model training, requiring them to meet privacy regulations that stipulate patient consent unless data is fully de-identified or […]
Fields of Study & Subjects
Privacy-Preserving Technologies in Data
Machine Learning in Healthcare
Ethics in Clinical Research
Publication details
- Journal / source
- Critical Care Science
- Volume
- 38
- Pages
- e20260263–e20260263
- Publication date
- 1 January 2026
- Language
- EN