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.

翻译：尽管利用合成医学数据（SMD）训练和测试人工智能方法的兴趣日益增长，但缺乏评估其质量及适用性的标准化框架阻碍了其更广泛的应用。本文提出一个专为满足医学应用独特需求而设计的评估框架，并引入SMD Card——可作为人工生成数据集随附的综合报告。该卡片为评估和报告合成数据质量提供了一个透明且标准化的框架，可惠及SMD开发者、用户及监管机构，尤其适用于在监管申报中使用SMD的人工智能模型。