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人工智能支持系统在查乳房扫描病例的表现,然后进行立体活检

Anandita Mathur¹, Colleen McNally¹, Arielle Sasson¹

¹Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai (ISMMS), 1470 Madison Ave., New York, NY 10029, USA.

|December 11, 2025

概括

这项研究评估了Transpara AI用于查乳房扫描,发现它有效地识别潜在的乳腺癌,具有高灵敏度和负预测值. 然而,由于其高错误阳性率,建议谨慎使用.

科学领域:

放射学放射学是一门学科.
人工智能的人工智能
在瘤学瘤学.

背景情况:

查性乳房造影对于早期发现乳腺癌至关重要.
人工智能工具正在出现,以帮助放射科医生解释乳房影像.
对基因病理学进行AI性能评估对于临床采用至关重要.

研究的目的:

为了评估Transpara 1.7.1 AI系统的独立诊断性能.
为了比较人工智能风险得分与乳房造影病理学结果.
为了确定AI在识别恶性发现时的准确性,需要立体活检.

主要方法:

对202名无症状女性患者进行立体活检的回顾性分析.
将Transpara AI风险得分与最终病理学结果 (良性与恶性) 的比较.
计算关键性能指标:灵敏度,特异性,PPV,NPV和AUC.

主要成果:

在恶性瘤检测方面,Transpara AI显示出高灵敏度 (94.9%) 和NPV (95.5%).
具体性很低 (24.4%),错误阳性率很高.
人工智能系统的AUC值为0.73,表明在乳腺癌检测方面表现不错.

结论:

跨度AI展示了作为查乳房扫描选工具的潜力.
高灵敏度和NPV表明AI可以支持活检建议.
放射科医生必须谨慎,因为假阳性和需要临床专业知识.

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查性乳房镜检查乳房镜检查立体样式活检 (stereotactic biopsy) 是一种立体的活检.

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