用人工智能增强的手持乳房超声波用于查:对诊断测试准确性的系统审查
Arianna Bunnell1,2, Dustin Valdez2, Fredrik Strand3,4
1Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America.
PLOS digital health
|September 22, 2025
概括
通过人工智能 (AI) 增强的手持乳房超声波 (BUS) 显示了乳腺癌查在低资源环境中的前景. 虽然AI-BUS的性能令人鼓舞,但对现实世界的选计划需要进一步验证.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 在瘤学瘤学.
背景情况:
- 乳腺造影显著降低了高收入国家的乳腺癌死亡率.
- 低收入和中等收入国家面临着对乳腺癌查的资源限制.
- 手持式乳房超声波 (BUS) 是一种经济有效的替代方案,但需要广泛的培训.
研究的目的:
- 系统地审查AI增强的BUS用于乳腺癌查的准确性.
- 评估其作为主要查方式的适用性,特别是在资源有限的环境中.
主要方法:
- 按照PRISMA指南进行系统审查 (CRD42023493053).
- 在PubMed和谷歌学者中进行了搜索 (2016年1月至2023年12月).
- 包括34项评估AI任务的研究:框架选择,病变检测,细分和分类.
主要成果:
- 79%的纳入研究具有高或不清楚的偏差风险.
- 榜样性AI系统在分类方面获得了0.976 AUROC,在细分方面获得了0.838 子得分.
- 观察到鼓励AI在BUS应用中的发展.
结论:
- 借助人工智能改进的BUS显示了改善资源有限的环境中乳腺癌查准入的潜力.
- 需要进行大量的进一步研究来验证AI-BUS在现实世界查中的性能.
- 对外部的高质量验证,选数据集对于广泛采用至关重要.
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