儿科和儿科护理中的合成数据生成:什么,如何,为什么?
Elisabetta Mezzalira1, Maria Paola Boaro2, Giulia Reggiani3
1Department of Women's and Children's Health, University of Padova, Padova, Italy.
International journal of medical informatics
|January 6, 2026
概括
合成数据 (SD) 对儿科研究有好处,比如改善人工智能模型和保护隐私,但需要仔细评估和指导方针,以便在儿童健康中安全有效地使用.
科学领域:
- 儿科医疗保健 儿科医疗保健
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 儿科研究面临着数据稀缺和隐私挑战.
- 合成数据 (SD) 为这些问题提供了潜在的解决方案.
- 在儿科中使用SD是一个新兴的研究领域.
研究的目的:
- 探索合成数据在儿科中的好处和局限性.
- 审查SD在儿科研究中的当前应用和挑战.
- 确定儿童健康中SD发展和实施的未来方向.
主要方法:
- 进行了叙事文学评论.
- 在PubMed和Scopus数据库中进行了搜索.
- 包括到2025年8月关于儿童医疗保健中SD的出版物.
主要成果:
- SD可以增强数据集的多样性,保护患者隐私,并帮助人工智能开发,特别是在罕见疾病方面.
- 应用范围包括新生儿学,瘤学,放射学和神经发育障碍.
- 挑战包括潜在的偏见,质量保证,隐私风险和缺乏标准化指南.
结论:
- SD显示了人工智能早期预警系统和增强罕见疾病数据集等儿科应用的前景.
- 需要一个结构化的评估框架和特定于儿科的指导方针.
- 未来的工作应涉及多方利益相关者的参与,以确保公平,安全的使用,并解决儿童发展方面的问题.
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