在大型公共卫生系统中试点部署基于云的通用医疗图像存储库:一项协议研究研究
Viviane Margarida Gomes Pacheco1,2, Joselisa Peres Queiroz Paiva1, Brunna Carolinne Rocha Silva Furriel1,3
1Hospital Israelita Albert Einstein, Sao Paulo, Brazil.
PloS one
|August 29, 2024
概括
这项研究详细介绍了一种基于云的医疗图像存储系统,与人工智能集成,用于更快的分析. 部署的系统有效地管理数据,并支持新的AI模型部署,克服医疗保健挑战.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 云计算在医学中的应用
背景情况:
- 医疗保健系统在管理大量医疗图像方面面临着挑战.
- 整合人工智能 (AI) 用于医学图像分析需要强大的基础设施.
- 现有的系统往往缺乏用于AI部署的可扩展性和高效的数据管理.
研究的目的:
- 概述部署基于云计算的通用医学图像存储库的协议.
- 详细介绍人工智能的集成,用于自动化医学图像检查分析.
- 解决医疗AI部署中的技术,伦理和安全挑战.
主要方法:
- 开发一个通用数据库,用于高效的医疗图像数据管理.
- 部署一个基于云的平台,用于可扩展的存储库功能.
- 整合各种AI模型以支持诊断决策.
主要成果:
- 成功部署和验证一个概念验证系统.
- 该系统每天可以处理数千张医疗图像.
- 该平台支持不断部署新的AI模型,以加快分析.
结论:
- 该协议有助于部署可扩展的AI集成医疗图像存储库.
- 该系统解决了医疗AI实施的关键挑战,包括数据安全和用户信任.
- 这种方法提高了诊断效率,并支持AI在医疗保健中的进步.
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