在胸部放射学报告中使用生成性AI模型的价值:读者研究报告
Eun Kyoung Hong1,2, Byungseok Roh3, Beomhee Park3
1Department of Radiology, Mass General Brigham, Boston, Mass.
Radiology
|March 11, 2025
概括
生成型人工智能 (AI) 工具通过减少阅读时间和提高报告质量,显著改善了胸部放射图解读. 这种人工智能辅助的方法提高了放射科医生的诊断准确性和效率.
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
- 临床决策支持系统 临床决策支持系统
背景情况:
- 多模式生成人工智能 (AI) 为初步放射学报告生成提供了潜力.
- 读者研究对于验证AI在放射学中的临床实用性至关重要.
- 特定领域的人工智能工具需要严格的评估才能在实践中应用.
研究的目的:
- 评估专门的多式联通生成AI工具的临床价值,用于解释胸部X射线图.
- 通过读者研究来评估人工智能生成的初步报告对放射科医生的表现的影响.
主要方法:
- 一项回顾性读者研究,涉及758名胸部X射线和5名放射科医生.
- 放射科医生解释了带有和没有人工智能生成的初步报告的图像.
- 评估阅读时间,报告协议 (RADPEER) 和质量评分;分析事实正确性,敏感性和特定性.
主要成果:
- 人工智能报告说,平均阅读时间明显减少 (34.2秒到19.8秒,P <.001).
- 报告协议和质量评分显示,人工智能协助显著改善 (P < .001).
- 检测异常的灵敏度,如扩大中体轮和多病变的灵敏度显著增加.
结论:
- 集成特定领域的多式联通生成AI模型可以提高放射学报告生成的效率和质量.
- 人工智能辅助的翻译导致更快的阅读时间和更好的诊断准确性.
- 虽然整体表现有所改善,但个人放射科医生的变化仍然存在.
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