人工智能在放射学中的应用:转诊医生的视角
Jennifer Gotta1, Leon D Grünewald2, Vitali Koch2
1Goethe University Hospital Frankfurt, Frankfurt am Main, Germany. Jennifer.Gotta@unimedizin-ffm.de.
Insights into imaging
|November 1, 2025
概括
医生认为人工智能 (AI) 对放射学是积极的,但需要透明度和明确的责任. 解决这些问题对于将人工智能纳入临床实践至关重要.
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:
- 人工智能 (AI) 为提高放射学诊断准确性和效率提供了重大机会.
- 医生信任和接受是AI工具成功临床整合的关键决定因素.
研究的目的:
- 调查医生对放射学AI的态度.
- 确定影响AI在临床放射学工作流程中采用AI的关键促进者和障碍.
主要方法:
- 在德国对169名医生 (外科医生,内科医生,全科医生) 进行了调查.
- 一个结构化的在线调查问卷评估了人们对人工智能的看法,重点关注信任,首选应用和采用障碍.
- 使用R和Python进行了统计分析.
主要成果:
- 60%的医生对人工智能对提高诊断准确性的积极看法.
- 模型透明度 (56.3%) 是最重要的信任因素,其次是责任的法律清晰度 (25.0%).
- 首选的AI应用包括病变检测,研究数据分析和工作流程管理,而"黑子"AI,不清楚的问责制和数据隐私被确定为障碍.
结论:
- 医生们认识到AI在放射学方面的潜力,但强调需要提高透明度,定义法律责任和强有力的数据保护.
- 解决有关可解释性,法律框架和数据安全问题的问题对于培养医生信任和使人工智能在临床环境中得到广泛采用至关重要.
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