设想人工智能在尿动力学中的未来:与专家的探索性访谈
Catharina Margaretha van Leersum1, Andrew Gammie2, Enrico Finazzi Agrò3,4
1Faculty of Humanities, Open Universiteit, Heerlen, The Netherlands.
Neurourology and urodynamics
|June 16, 2025
概括
人工智能 (AI) 准备通过改进数据分析和减少诊断错误来改变尿动力学测试. 专家们设想人工智能可以支持临床医生,增强患者护理,并简化尿动力学研究.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 泌尿动力学是一种侵入性诊断测试,用于检测下尿路疾病.
- 技术挑战和临床医师培训的需要可能导致误诊.
- 人工智能为改进模式识别和分析杂的泌尿动力学数据提供了潜力.
研究的目的:
- 探索关于人工智能在尿动力学中的未来应用的专家意见.
- 了解AI在这个领域的理想和适当用途.
- 收集来自人工智能和尿动力学专家的见解.
主要方法:
- 与十名专家进行了半结构面试.
- 对采访数据进行了诱导性内容分析.
- 探索人工智能在尿动力学中的期望,信任和可能性.
主要成果:
- 七个主题出现了:尿动力学困难,质量,人工智能支持,人工智能开发/培训,理想的结果,挑战和未来愿景.
- 专家预计人工智能将在尿动力学方面发挥支持作用.
- 关键主题包括人工智能开发,培训和克服挑战.
结论:
- 人工智能预计将大大改变尿动力学实践.
- 临床医生将最初验证人工智能生成的结果,以建立信任.
- 随着时间的推移,人工智能可以提供独立的分析,使临床医生能够与患者互动.
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