日本医疗图像数据库 (J-MID):医疗大数据支持数据科学
Juntendo medical journal
|July 16, 2025
概括
日本建立了日本医学图像数据库 (J-MID),以应对处理大型放射学数据集的挑战. 该计划利用人工智能和大数据来提高医疗成像专业人员的诊断质量和效率.
科学领域:
- 医学成像信息学 医疗成像信息学
- 放射学数据管理 放射学数据管理
- 医疗保健中的人工智能
背景情况:
- 随着成像技术的进步和对医学数字成像和通信 (DICOM) 等标准的遵守,放射学数据的数量不断增加,这给诊断效率和质量带来了挑战.
- 日本有限数量的放射科医生在处理这种数据激增方面遇到了困难,这影响了诊断质量和效率.
- 日本放射学会 (JRS) 启动了"日本安全放射学"倡议,通过信息和通信技术 (ICT) 的利用来提高放射医学的安全性,效率和质量.
研究的目的:
- 建立国家图像诊断数据库,以集中医疗资源,促进放射性数据的高效处理.
- 利用人工智能 (AI) 和大数据系统整合放射医学并提高诊断能力.
- 为研究和开发创建一个无与伦比的真实世界的放射性数据库.
主要方法:
- 日本医学研究与开发机构 (AMED) 支持从2017年开始开发日本医学图像数据库 (J-MID).
- 通过学术信息网络 (SINET),J-MID系统地收集来自日本10所主要大学医院的匿名CT/MR图像和诊断报告.
- 数据存储在集中式云服务器上,确保研究人员方便访问.
主要成果:
- 截至2024年4月,J-MID已经收集了超过5.34亿张图像,代表了165万例病例.
- 这使得J-MID成为日本现实世界放射数据的最大存储库.
- 该数据库有助于研究人员方便地利用广泛的医学成像数据.
结论:
- 在日本,J-MID的建立和发展代表了在管理和利用大规模放射性数据方面取得的重大进展.
- 该计划支持"日本安全放射学"倡议,为人工智能驱动的进步和提高诊断效率提供了一个强大的平台.
- J-MID是推动医学成像研究和提高全国范围内放射性诊断质量的重要资源.
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