对现有和未来的人工智能应用对电心电图计算机解释的对比态度:临床利益相关者采访研究
Lukas Hughes-Noehrer1,2, Leda Channer1, Gabriel Strain1
1Department of Computer Science, The University of Manchester, Manchester M13 9PL, United Kingdom.
JAMIA open
|July 22, 2025
概括
临床医生不信任当前的自动ECG解释,但欢迎未来的AI技术. 他们优先考虑准确性和视觉解释,将人工智能视为提高技能而不是取代工作的工具.
科学领域:
- 医疗技术 医疗技术 医学技术
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 目前的自动心电图 (ECG) 解释方法面临临临床医生的不信任.
- 新型人工智能 (AI) 技术为心电图分析提供了潜在的进步.
- 了解临床医生的看法对于在医疗保健中采用AI至关重要.
研究的目的:
- 调查临床医生对自动ECG解释和AI的态度.
- 探索临床医生对计算机辅助解释和AI可信度的看法.
- 评估临床医生对AI可解释性,准确性和对临床能力的影响的意见.
主要方法:
- 在英国对23名临床医生进行了一系列采访.
- 采用了对面试成绩单的诱导性主题分析.
- 探索了在ECG解释和决策中的潜在AI应用.
主要成果:
- 发现人们对当前的自动化系统缺乏信任.
- 发现对未来人工智能应用的积极态度,强调准确性和视觉解释.
- 揭示了对非培训和对人工智能教育的需求的担忧,而不是失业.
结论:
- 临床医生对AI在临床决策中充满乐观,优先考虑准确性和视觉反.
- 人工智能被视为培训和提高医疗保健专业人员技能的潜在工具.
- 通过教育解决人们对失业能力的担忧对于负责任的AI实施至关重要.
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