Radiology Data Lakes

Purpose and Architecture

A radiology data lake consolidates imaging metadata pixel data and clinical information to support analytics AI and research and architecture includes ingestion pipelines normalization layers and secure access controls

Governance and Privacy

Data governance defines access policies deidentification procedures and provenance tracking and ensures that research use complies with consent and with regulatory requirements

Enabling Research and AI Development

Centralized curated data with standardized metadata accelerates cohort discovery model training and validation and supports reproducible research and federated approaches when data sharing is restricted


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