Scorecards for Synthetic Medical Data Evaluation and Reporting
June 17, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Edward Margerrison, Jana Delfino, Aldo Badano
arXiv ID
2406.11143
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CY,
cs.DB
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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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