人工智能协助肺胸部检测对不同经验的读者胸部放射图的影响
Chen-Wei Ho1, Yu-Lun Wu2, Yi-Chun Chen1
1Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Dazhong 1st Rd., Zuoying Dist., Kaohsiung City 813414, Taiwan.
Diagnostics (Basel, Switzerland)
|October 29, 2025
概括
人工智能 (AI) 显著改善了所有读者,特别是前线医疗保健提供者的胸部放射图上的肺胸部检测. 人工智能辅助还减少了不同经验水平的读者之间的绩效差异.
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:
- 胸部X射线图 (CXR) 上的肺胸部检测对于患者护理至关重要.
- 读者体验显著影响诊断准确度.
- 人工智能工具在增强医学图像解释方面表现有前途.
研究的目的:
- 评估人工智能辅助对不同读者体验水平的肺胸部检测准确性的影响.
- 为了确定AI是否可以减轻CXR解释中的读者体验等混因素.
主要方法:
- 一个追溯的,盲目的,多读者诊断准确性研究,涉及125个CXR.
- 18名读者 (放射科医生,住院医生,放射科医生) 独立地解释了CXR两次,有或没有人工智能辅助.
- 使用ROC曲线和混因子分析与通用估计方程 (GEE) 模型的性能分析.
主要成果:
- 仅人工智能软件就实现了0.965.5的AUC.
- 人工智能辅助显著改善了所有读者群体的表现 (p < 0.01),特别是初级读者.
- 人工智能减少了读者之间的绩效差异,读者体验和投影类型被确定为重要因素 (p < 0.05).
结论:
- 人工智能辅助提高了所有经验水平的读者在CXR上的肺胸部检测准确度.
- 人工智能特别有利于一线医疗保健提供者,改善他们的诊断性能.
- 人工智能可以减少混变量的影响,例如读者在诊断任务中的经验.
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