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在现实世界查乳房镜检查中,有或没有人工智能辅助的诊断性能

Si Eun Lee¹, Hanpyo Hong¹, Eun-Kyung Kim¹

¹Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.

European journal of radiology open

|January 31, 2024

概括

基于人工智能的计算机辅助诊断 (AI-CAD) 并没有显著改变放射科医生在查乳房镜中的表现. 然而,与独立的AI-CAD相比,AI-CAD辅助提高了放射科医生的特异性和准确性,同时降低了召回率.

科学领域:

放射学放射学是一门学科.
医疗成像医学成像
医疗保健中的人工智能

背景情况:

查性乳房造影对于早期发现乳腺癌至关重要.
基于人工智能的计算机辅助诊断 (AI-CAD) 工具正在出现,以协助放射科医生.
评估AI-CAD对放射科医生的实际影响对放射科医生的表现至关重要.

研究的目的:

评估AI-CAD对放射科医生在查性乳房镜检查期间的诊断性能的影响.
为了比较放射科医生的表现,有和没有AI-CAD的帮助.
为了比较放射科医生的表现与独立的AI-CAD功能.

主要方法:

从1819名女性 (2020年8月至2022年5月) 的查性乳房影像和超声波数据的回顾性分析.
放射科医生解释了每月替代地提供或保留AI-CAD结果的乳房影像.
分析了包括癌症检测率,回忆率,灵敏度,特异性,准确性和AUC在内的诊断性能指标.

主要成果:

放射科医生的诊断性能没有显著差异,有或没有AI-CAD的协助.
与独立AI-CAD (93.8%) 相比,AI-CAD辅助的放射科医生具有相似的灵敏度 (76.5%) 和特异性 (92.3%).
在没有AI-CAD的情况下,放射科医生表现出较低的特异性 (91.9%) 和准确性 (91.5%),以及较高的回忆率 (8.6%),而不是独立的AI-CAD.

结论:

当与超声波相结合时,AI-CAD辅助并没有显著改变放射科医生在查乳房镜中的诊断性能.
与独立的AI-CAD相比,没有AI-CAD辅助的放射科医生表现出较低的特异性和准确性,并增加了召回率.
该研究强调了AI-CAD在支持放射科医生的潜力,特别是在提高特异性和减少不必要的召回方面.

关键词:

人工智能的人工智能是人工智能.乳腺癌乳腺癌乳腺癌诊断,计算机辅助的诊断.数字乳房造 mammography 数字乳房造 mammography 数字乳房造 mammography 数字乳房造 mammography 数字乳房造 mammography 数字乳房造

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