人工智能可以准确检测尿路结石吗? 一个系统的审查
Frédéric Panthier1,2,3,4, Alberto Melchionna1, Hugh Crawford-Smith1
1Department of Urology, Westmoreland Street Hospital, UCLH NHS Foundation Trust, London, United Kingdom.
Journal of endourology
|April 26, 2024
概括
人工智能 (AI) 可以在非对比计算断层扫描 (NCCT) 扫描上自动检测尿路结石. 人工智能需要进一步的研究来区分石头与其他发现,并对外部的性能进行验证.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
背景情况:
- 检测和测量尿 पथ在临床实践中至关重要.
- 人工智能 (AI) 在自动化医疗图像分析方面表现有前途.
- 需要进行系统审查,以评估AI在尿路结石检测方面的当前表现.
研究的目的:
- 系统地审查人工智能 (AI) 在使用非对比计算断层扫描 (NCCT) 检测尿路结石方面的性能.
- 评估评估AI用于尿路结石检测的研究的方法和报告质量.
主要方法:
- 在Scopus,科学网络,Embase和PubMed进行了系统的搜索.
- 如果他们研究了AI用于在NCCT上检测或测量石头,那么就包括了这些研究.
- 使用既有工具评估了偏差风险,包括医学成像人工智能检查清单 (CLAIM).
主要成果:
- 包括12项研究,主要是回顾性和单中心研究.
- 人工智能模型在石头检测方面表现出高性能,灵敏度,特异性和准确性从58.7%到100%不等.
- 自动化石块体积测量显示与手动测量有很高的相关性 (r=0.95).
结论:
- 人工智能算法可以有效地自动化NCCT的尿路结石检测.
- 未来的研究应该专注于区分石头和石,外部验证,包括复杂的病例,如解剖异常和泌尿外体.
相关概念视频
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