在初级医疗保健实验室中使用人工智能支持的数字显微镜诊断:范围审查协议
Joar von Bahr1,2, Vinod Diwan1, Andreas Mårtensson3
1Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
JMIR research protocols
|November 1, 2024
概括
人工智能 (AI) 支持的数字显微镜可以通过改善访问和减少对现场专家的需求来增强初级医疗保健诊断. 这一范围审查映射了现有研究,以指导未来在这个新兴领域的研究.
科学领域:
- 医疗信息学 医疗信息学
- 数字病理学数字病理学
- 医疗保健中的人工智能
背景情况:
- 数字显微镜与人工智能在医疗保健领域正在扩大,主要是在先进的实验室.
- 人工智能增强显微镜通过自动化诊断和减少对现场专家的依赖,为初级保健提供了显著的潜力.
- 本综述解决了在初级医疗保健实验室内理解人工智能支持的数字显微镜应用的差距.
研究的目的:
- 在初级医疗保健实验室中对人工智能支持的数字显微镜进行同行评审研究进行范围审查.
- 绘制现有研究格局的地图,并提供当前应用和发现的概述.
主要方法:
- 在主要数据库 (PubMed,Web of Science,Embase,IEEE) 中系统搜索英语的同行评审文章.
- 纳入标准:人工智能支持的数字显微镜用于初级卫生保健机构的诊断 (没有现场病理学家,简单的样本准备).
- 由两个独立研究人员进行数据提取和分析,遵循JBI对范围审查的方法.
主要成果:
- 审查协议于2024年1月发布,并将于2024年3月完成.
- 系统性搜索正在等待对该协议的同行审查.
- 预计在2024年底前完成完整的范围审查.
结论:
- 预期的系统审查将确定在初级保健中受益于AI数字显微镜的疾病.
- 它将强调在初级卫生保健实验室中实施这些技术的共同挑战和成功策略.
- 这些发现将指导未来的研究和开发,用于在服务不足的医疗机构中使用人工智能驱动的诊断.
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