用于宫癌查的人工智能:范围审查,2009-2022年
Hernán Darío Vargas-Cardona1, Mérida Rodriguez-Lopez2,3, Marcela Arrivillaga1
1Pontificia Universidad Javeriana Cali, Cali, Colombia.
概括
人工智能 (AI) 在早期宫癌成像诊断方面显示出有希望的结果,深度学习方法达到97%以上的准确性. 需要进一步的研究来验证这些AI诊断工具.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地被用于癌症研究,特别是用于分析医疗图像.
- 通过成像检测早期发现宫癌是重点关注的关键领域.
研究的目的:
- 系统地审查和综合有关AI在宫癌早期成像诊断中的诊断准确性的文献.
- 在宫癌查中提供AI应用的全面概述.
主要方法:
- 使用Arksey和O'Malley方法进行了范围审查.
- 在PubMed,Scopus和谷歌学者数据库中使用英语和西班牙语的关键词进行了搜索.
- 选择了原始报告,并对相关性和数据重叠进行了选.
主要成果:
- 分析了2009年至2022年间发表的32项研究.
- 图像数据主要来自数字镜,宫镜和移动设备.
- 支持矢量机 (SVM) 和深度学习 (DL) 算法,包括卷积神经网络 (CNNs),ResNet和VGG,显示出最高的诊断性能,超过97%的准确性.
结论:
- 人工智能在宫癌查中的应用已经显著增长.
- 深度学习方法在早期诊断宫癌方面显示出非常有前途的结果.
- 进一步的研究对于验证这些AI工具的临床实用性和诊断准确性至关重要.
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