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Enhancing transparency in AI for healthcare with OMOP Model Card reporting
0
Zitationen
7
Autoren
2025
Jahr
Abstract
This poster presents an extended model card framework for healthcare AI that standardizes how model intent, target cohorts, input features, evaluation metrics, and dataset characteristics are documented using the OMOP Common Data Model and OHDSI methodologies. Structured JSON formats aligned with OMOP concepts enable consistent, semantically clear reporting across clinical datasets. The framework integrates cohort definition, summary analytics, and automated model card generation through a guided workflow. To ensure traceability and auditability, model cards are versioned and published on blockchain infrastructure, supporting regulatory compliance and fostering reproducible, trustworthy medical AI. Original abstract also included.
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