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对病理学家对人工智能辅助诊断系统的看法进行定量研究.

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病理学家通常支持人工智能辅助诊断系统 (AIADS) 以提高效率,但对准确性的担忧仍然存在. 提高人工智能知识和用户体验是AIADS在病理学中更广泛采用的关键.

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科学领域:

  • 医疗信息学 医疗信息学
  • 病理学 病理学 病理学
  • 人工智能的人工智能

背景情况:

  • 病理学家的接受对于整合人工智能辅助诊断系统 (AIADS) 至关重要.
  • 对病理学家对AIADS的看法存在有限的研究,这阻碍了在病理学中有效地实施AI.

研究的目的:

  • 探索病理学家关于AIADS的知识,态度和做法.
  • 确定影响病理学家使用AIADS的意愿的因素.
  • 为在病理学中有效整合人工智能技术提供见解.

主要方法:

  • 一项全国性,横截面的在线调查,使用5分利克特级别.
  • 描述性分析和后勤回归来研究AIADS采用因素.
  • 调解分析探讨了知识和行为意图之间的态度的作用.

主要成果:

  • 调查了224名病理学家;37.9%的人使用过AIADS.
  • 知识,态度和行为意图的平均分数约为3.4-3.5.5.
  • 更高的知识,积极的态度和以前使用AIADS与更愿意采用AIADS相关.

结论:

  • 大多数病理学家支持AIADS用于临床诊断,理由是速度和工作量减少.
  • 诊断准确度是一个主要问题,需要提高性能.
  • 提高病理学家的知识,态度和用户体验对于AIADS的采用至关重要.