为紧急放射学实施人工智能影响医生的知识和感知:前性前后分析.
Boj Friedrich Hoppe1, Johannes Rueckel, Yevgeniy Dikhtyar
1From the Department of Radiology, University Hospital, LMU Munich, Munich, Germany (B.F.J., J.Rueckel, Y.D., M.H., N.F., B.O.S., J.Ricke, J.Rudolph, C.C.C.); and Institute of Neuroradiology, University Hospital, LMU Munich, Munich, Germany (J.R.).
Investigative radiology
|October 16, 2023
概括
应急放射学中的人工智能 (AI) 提高了医生的信心,减少了错过的发现,并增加了对AI的知识. 人工智能作为一个有价值的"第二读者"来支持,而不是取代医疗专业人员.
科学领域:
- 放射学 放射学是一门学科.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 紧急放射学工作流可以通过人工智能工具来增强,以提高诊断准确度.
- 医生对人工智能集成的看法和知识对于成功的采用至关重要.
研究的目的:
- 评估人工智能破裂检测解决方案对紧急放射科医生的感知和知识的影响.
- 评估医生对人工智能的信心和理解在临床实践中的变化.
主要方法:
- 在AI实施前后进行了前性干预调查.
- 放射科医生和创伤医生使用7点的利克特级别来评价他们对AI的知识和感知.
- 统计分析包括威尔科克森对配对数据的签名等级测试.
主要成果:
- 医生们报告说,他们越来越相信人工智能减少了错过的发现,并让他们感觉更安全,虽然不是更快.
- 人工智能可以取代放射学报告的分歧越来越大.
- 自我报告的临床AI知识,它的机会和风险在实施后显著改善.
结论:
- 在紧急放射学中实施人工智能具有教育效应,增强了医生的理解.
- 人工智能有效地作为一个AI功能.
- 第二个读者,第二个读者
- 支持医生,而不是取代他们.
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