人工智能自动细分技术与手动细分技术的比较,用于CT或形光束CT扫描的上和上鼻CT扫描 - 一个系统的审查
Joon Ha Park1, Mustafa Hamimi1, Joanne Jung Eun Choi2
1School of Medicine and Dentistry, Griffith University, Gold Coast, 4222, Australia.
Dento maxillo facial radiology
|June 3, 2025
概括
人工智能 (AI) 自动细分上鼻的准确度超过90%,比手动细分更快. 这篇评论分析了10项比较人工智能与医疗图像分析手动方法的研究.
科学领域:
- 医学成像分析 医学成像分析
- 放射学中的人工智能
- 上腔鼻腔细分的部分化
背景情况:
- 准确的上鼻细分对于诊断和手术规划至关重要.
- 手动细分是耗时的,需要专门的培训.
- 人工智能 (AI) 为细分提供了自动化解决方案.
研究的目的:
- 系统地审查和分析人工智能驱动的自动大鼻区分的准确性和效率.
- 将人工智能技术与手动细分的黄金标准进行比较.
- 评估当前关于自动化医疗图像细分的文献.
主要方法:
- 按照PRISMA指南进行系统的文献审查.
- 在PubMed,Medline,Embase和Google Scholar进行的搜索.
- 分析了10项研究,比较了自动和手动细分技术,评估样本大小,使用的软件和比较指标,如子系数.
主要成果:
- 所有10项审查的研究都显示偏差风险较低.
- 自动细分技术总是比手工方法快.
- 与手动细分相比,基于人工智能的自动细分实现了超过90%的准确性.
结论:
- 使用人工智能对大鼻腔进行自动细分是人工方法的高精度和高效替代方案.
- 人工智能显著减少了大鼻细分所需的时间.
- 这项技术在改善诊断和外科手术规划工作流程方面具有很大的前景.
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