Data flow in clinical laboratories: could metadata and peridata bridge the gap to new AI-based applications?

View Full Paper

Ask AI

Bookmark

Integrating metadata and peridata improves data usability in laboratories, enabling better AI applications.
The total testing process generates extensive data, requiring effective categorization of metadata and peridata.
This framework supports machine learning studies and adheres to the FAIR principles of data management and accessibility for enhanced clinical utility and research integration into health systems. This suggests the need for standardization in data practices.

Discussion

No takes yet. Share an insight, caveat, or question.

Opinion paper discusses enhancing data usability through metadata and peridata in laboratories, suggesting improved AI integration.

Padoan et al. (2024) studied this question.

View Full Paper

Ask AI

Bookmark