查高AI分数的乳房影像中的乳房影像特征,但是一个真负查结果
Henrik Wethe Koch1,2, Marie Burns Bergan3, Jonas Gjesvik3
1Department of Radiology, Stavanger University Hospital, Stavanger, Norway.
Acta radiologica (Stockholm, Sweden : 1987)
|September 16, 2025
概括
哺乳镜中的人工智能 (AI) 可以产生错误的阳性结果. 这项研究发现,大多数带有负面结果的人工智能标志的乳房造影被专家放射科医生认为是不怀疑的,这表明人工智能作为决策支持不太可能增加不必要的召回.
科学领域:
- 放射学和医学成像学 医学成像学
- 医疗保健中的人工智能
- 乳腺癌查 乳腺癌查
背景情况:
- 人工智能 (AI) 在乳房影像分析中展示了用于癌症检测的潜力.
- 然而,人工智能在乳房影像查中产生虚假阳性的临床影响需要进一步调查.
研究的目的:
- 分析与高AI分数相关的乳房特征,但真负查结果.
- 评估AI识别的可疑发现的临床意义,这些发现并不代表恶性瘤.
主要方法:
- 使用商业人工智能系统 (Transpara v. 2.0.0) 进行54,662次查性乳房造影的回顾性分析.
- 选择的考试与AI得分10和连续的真负结果.
- 由三位经验丰富的乳腺放射科医生对382项精选的检查进行了盲目共识审查,分类特征,解释得分和乳腺密度 (BI-RADS).
主要成果:
- 91.1%的高AI分数和真负结果的审查检查被归类为非可疑 (放射科医生解读分数1).
- 乳房图像的特征包括不对称性 (30.6%),化 (30.1%) 和不对称性与化 (29.3%).
- 在含的检查中,79.1%显示良性形态.
结论:
- 在专家审查后,大多数人工智能产生的乳房造影查假阳性被归类为非可疑的.
- 使用人工智能作为决策支持不太可能导致患者召回的增加,以便在现实世界查环境中进行进一步评估.
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