人工智能用于对比增强的肝脏超声波:系统性审查
James A Brooks1, Michael Kallenbach1, Iuliana-Pompilia Radu2
1Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Dusseldorf, Medical Faculty at Heinrich-Heine-University, Dusseldorf, Germany.
Digestion
|September 23, 2024
概括
人工智能 (AI) 在肝脏对比增强超声波 (CEUS) 分析中表现有希望,用于诸如损伤分类等任务. 然而,进一步的前性,外部验证的研究对于临床整合至关重要.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 肝病学 肝病学是一种肝病学.
背景情况:
- 人工智能 (AI) 正在医学中取得进展,在胃肠病学中出现应用,包括结肠直肠癌查.
- 与对比度增强的超声波 (CEUS) 是一种有价值的肝脏成像工具,但其解释需要广泛的专业知识,并可能遭受interrater变化.
- 人工智能有可能帮助临床医生解释CEUS,提高决策和效率.
研究的目的:
- 系统地审查和比较关于人工智能在肝脏中的应用的原始研究研究.
- 在CEUS肝脏检查的背景下分析AI方法,数据输入和性能指标.
- 确定人工智能在肝脏中的当前状态和未来方向 CEUS.
主要方法:
- 在PubMed,Web of Science和IEEE的系统文献搜索2010年1月至2024年2月的研究.
- 包括41项原始研究研究,将AI应用于肝脏CEUS.
- 由两个独立审稿人提取方法学特征,包括队列大小,验证,人工智能算法和性能指标.
主要成果:
- 大多数研究 (41) 专注于人工智能用于分类焦点肝病变,区分良性和恶性瘤,并对瘤进行分级.
- 人工智能模型报告的准确度在58.6%至98.9%之间,表明性能良好至高.
- 一个显著的局限性是大多数研究中普遍缺乏外部验证,大多数研究使用注释图像.
结论:
- 许多概念验证研究表明AI在肝脏CEUS中的潜力.
- 人工智能在分析肝脏CEUS数据方面存在高报告的性能指标.
- 进一步的前性,多中心和外部验证的研究对于AI在肝脏CEUS中的临床转化至关重要.
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