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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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放射科医生与人工智能生成的初步报告的互动:一个纵向多读者研究

Eun Kyoung Hong1, Chong Hyun Suh2, Monika Nukala1

  • 1Department of Radiology, Mass General Brigham, Boston, Massachusetts.

Journal of the American College of Radiology : JACR
|September 22, 2025
PubMed
概括
此摘要是机器生成的。

多式人工智能生成的报告提高了放射学工作流程的效率和放射科医生随着时间的推移的接受度. 然而,报告质量和一致性各不相同,特别是对于异常的胸部X射线图,需要持续的人类监督.

关键词:
胸部X射线成像 胸部X射线成像生成型的人工智能放射科医生-人工智能相互作用报告的生成 报告的生成

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科学领域:

  • 放射学 放射学是一门学科.
  • 人工智能的人工智能
  • 医疗信息学 医疗信息学

背景情况:

  • 放射学工作流程越来越多地采用人工智能工具.
  • 多模式人工智能为改善诊断报告提供了潜力.

研究的目的:

  • 评估人工智能生成的报告在放射学工作流程中的整合.
  • 评估随着时间的推移对放射科医生的效率,报告的可接受性和质量的影响.

主要方法:

  • 756张胸部X射线图与人工智能生成的报告的多方阅读器研究.
  • 五位放射科医生解释了图像,两位放射科医生评估了最终报告的一致性和质量.
  • 分析了7个批次的阅读时间,接受率,同意率和质量得分.

主要成果:

  • 放射科医生阅读时间在连续批次 (25.8s到19.3s) 上显著下降.
  • 人工智能报告的可接受性增加了 (54.6%至60.2%),对于正常 (68.9%) 比异常 (52.6%) 放射图的接受性更高.
  • 协议和质量评分在正常情况下是稳定的,但在异常情况下是不同的.

结论:

  • 人工智能生成的报告提高了胸部X射线图的解释效率和放射科医生的接受度.
  • 对异常病例的一致性和质量的变化凸显了对专家人类监督的需要.
  • 人工智能集成需要仔细监控以确保诊断准确性.