人工智能和医学诊断:过去,现在和未来
Edward P Hoffer1, Cornelius A James2, Andrew Wong3
1Laboratory of Computer Science, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Diagnosis (Berlin, Germany)
|September 17, 2025
概括
诊断中的人工智能 (AI),当集成到临床工作流程中时,显示出减少诊断错误的希望. 本文回顾了人工智能驱动的诊断支持系统的历史,现状和未来潜力.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 临床决策支持 临床决策支持
背景情况:
- 卫生信息技术 (HIT) 可以减少诊断错误,正如NASEM报告所建议的那样.
- 基于计算机的诊断决策支持系统 (CDSS) 有着悠久的历史,但临床影响有限.
- 目前的研究突出了人工智能支持的CDSS的潜力.
研究的目的:
- 审查AI在医学诊断中的历史发展.
- 分析人工智能支持的诊断决策支持系统的现状.
- 预测人工智能在减少诊断错误方面的未来作用.
主要方法:
- 对诊断中人工智能的历史和当前研究的文献评论.
- 分析将人工智能支持的CDSS集成到临床工作流程中的情况.
- 讨论AI对减少诊断错误的潜在影响.
主要成果:
- 人工智能支持的决策支持系统,当适当整合时,预计将在减少诊断错误方面发挥越来越大的作用.
- 尽管CDSS有着悠久的历史,但到目前为止,CDSS并没有显著影响临床实践.
- 人工智能对提高诊断准确性具有重大前景.
结论:
- 仔细实施医疗信息技术,特别是支持人工智能的系统,对于减少诊断错误至关重要.
- 人工智能驱动的诊断工具即将成为临床实践的组成部分.
- 未来的诊断可能将涉及先进的AI支持系统.
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