对屏幕检测到的癌症进行前性分析,这些癌症被人工智能召回并没有被人工智能召回
Samantha J Smith1,2, Sally Anne Bradley1, Katie Walker-Stabeler1
1University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Journal of breast imaging
|May 27, 2024
概括
乳腺扫描智能评估 (MIA) 显示了乳腺癌查的潜力,但错过了79种癌症中的18种. 对于这种人工智能工具在乳房影像解释方面需要进一步评估.
科学领域:
- 放射学 放射学是一门学科.
- 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) 提供了增强医学成像解释的潜力.
- 乳腺造影智能评估 (MIA) 是一种人工智能工具,旨在协助乳腺造影分析.
研究的目的:
- 为了评估独立MIA的性能,与传统的双人读数相比,在现实世界乳腺查环境中进行评估.
- 评估MIA在当地人口中检测乳腺癌的准确性.
主要方法:
- 在2022年3月至10月期间,对"静默"运行的MIA进行了前性服务评估.
- MIA分析了8779张查性乳房造影;结果没有影响临床决策.
- 当人类阅读或MIA表明回忆时,病例在查后进行了审查.
主要成果:
- 146例病例显示一致性 (58种癌症被检测到).
- 270例病例显示出负的不一致性 (MIA没有回忆,人类回忆),检测到20种癌症/淋巴瘤.
- 604个病例显示出积极的不一致性 (MIA回忆,人类没有回忆),检测到2种癌症.
结论:
- 在人类读者检测到的79种乳腺癌中,MIA未能识别出18种.
- 没有任何特定的特征或地点表明MIA对2D乳房造影的分析存在系统性错误.
- MIA显示出潜力,但需要进一步验证,以全面检测乳腺癌.
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