在创伤中使用超声波进行扩展的集中评估超声波模仿组织幻影,用于开发自动诊断技术
Sofia I Hernandez-Torres1, Carlos Bedolla1, David Berard1
1Organ Support and Automation Technologies Group, U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX, United States.
Frontiers in bioengineering and biotechnology
|November 30, 2023
概括
一种新型的组织幻影精确地模拟了超声波视图,用于通过创伤中的超声波 (eFAST) 检查进行增强的集中评估. 这种幻影成功训练了人工智能模型,在eFAST扫描站点实现了超过97%的准确性.
科学领域:
- 医学成像医学成像
- 人工智能的人工智能是人工智能.
- 超声波技术的超声波技术
背景情况:
- 及时的医疗治疗依赖于基于成像的有效分类.
- 选过程中的自动化需要从医学成像中获得强大的训练数据.
- 开发真实的组织幽灵对于推进成像技术至关重要.
研究的目的:
- 为了开发一种新的模拟eFAST超声波成像的组织幻影.
- 使用eFAST幻影来训练和评估深度学习模型.
- 评估幻影在推进自动化医学成像分类中的实用性.
主要方法:
- 创建了一个合成弹道凝组织幻影与eFAST扫描点切割.
- 模拟各种生理条件和伤害 (肺胸,胸血,出血).
- 使用多个系统和训练有素的深度学习分类模型获得的超声波扫描.
主要成果:
- 在幻影上训练的人工智能模型在eFAST扫描站点实现了>97%的准确性.
- 预先训练的肺胸部AI模型在幻影图像上显示了74%的准确性.
- 格拉德-CAM分析证实了AI模型专注于相关的解剖区域.
结论:
- eFAST组织幻影有效地模仿人类超声波图像用于训练人工智能.
- 这种幻影是开发和验证自动化医学成像分拣系统的关键工具.
- 开发的幻影加速了超声波的发展,用于紧急分类.
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