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Scorecards for Synthetic Medical Data Evaluation and Reporting

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arxiv 2406.11143 v2 pith:SLA53CXB submitted 2024-06-17 cs.AI cs.CYcs.DB

Scorecards for Synthetic Medical Data Evaluation and Reporting

classification cs.AI cs.CYcs.DB
keywords dataframeworkmedicalsyntheticcardevaluationqualityreporting
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Although interest in synthetic medical data (SMD) for training and testing AI methods is growing, the absence of a standardized framework to evaluate its quality and applicability hinders its wider adoption. Here, we outline an evaluation framework designed to meet the unique requirements of medical applications, and introduce SMD Card, which can serve as comprehensive reports that accompany artificially generated datasets. This card provides a transparent and standardized framework for evaluating and reporting the quality of synthetic data, which can benefit SMD developers, users, and regulators, particularly for AI models using SMD in regulatory submissions.

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