使用人工智能对实习医生采访模拟患者的医疗面试辅助系统的评估:交叉,随机,受控试验
Akio Kanazawa1,2, Kazutoshi Fujibayashi1,3,4, Yu Watanabe1
1Department of General Medicine, Faculty of Medicine, Juntendo University, Tokyo 113-8421, Japan.
概括
医疗面试中的人工智能 (AI) 显著提高了住院医生的诊断准确度,减少了咨询时间. 这种人工智能支持系统显示了提高整体医疗保健质量的前景.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 准备彻底改变医疗面试,但其在日本的实际应用和好处在很大程度上尚未评估.
- 目前基于人工智能的医疗面试支持系统在日本尚未得到广泛采用,因此需要对其有效性的研究.
研究的目的:
- 评估商业人工智能医疗面试支持系统的有用性.
- 为了比较住院医生的诊断准确度,面试时间和询问效率,有和没有人工智能辅助.
主要方法:
- 在两个试验中进行了一项随机对照试验,涉及20名住院医生.
- 参与者被分为两组:一组通过流程图应用程序获得AI支持,一组没有.
- 关键指标包括正确诊断率,完成面试的时间和提问的次数.
主要成果:
- 与对照组相比,人工智能辅助组的正确诊断率明显高 (0.561比0.393;p=0.02).
- 在人工智能辅助组 (370s vs. 390s; p = 0.04) 观察到整体咨询时间的显著减少.
- 分析了来自192种差异诊断的数据.
结论:
- 人工智能辅助的医疗采访提高了住院医生的诊断准确性和效率.
- 将人工智能系统集成到临床实践中,有可能提高医疗保健的标准.
- 进一步采用人工智能工具可以解决医疗面试支持系统当前的局限性.
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