人工智能在放射学中的应用的经济评估:一个系统的审查
Lucy Gregory1, Felicity Lock1, Hugh Harvey1
1Hardian Health, London, UK.
European radiology
|February 20, 2026
概括
放射学AI的经济评估缺乏标准化的指标,阻碍了采用. 本综述综合了当前方法,以指导未来的研究和政策,以负责任地整合人工智能.
科学领域:
- 放射学 放射学是一门学科.
- 卫生经济学 卫生经济学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在放射学中的应用受限于缺乏强有力的健康经济证据.
- 经济评估对于证明AI技术在临床环境中的价值至关重要.
研究的目的:
- 综合对人工智能 (AI) 在放射学中的应用进行经济评估.
- 确定这些评估中使用的方法,结果和指标的趋势.
- 为未来关于放射学AI的研究和政策决策提供信息.
主要方法:
- 按照PRISMA指南,对MEDLINE和Cochrane Central (2014-2025) 的系统文献搜索.
- 与标准护理相比,包括同行评审的放射学AI的全文经济评估.
- 在经济,患者和临床领域提取数据,并使用CHEERS-AI进行质量评估.
主要成果:
- 包括31项研究,包括16项全面的经济评估;结果各不相同,重点关注直接成本,成本效益和诊断准确性.
- 经质量调整的寿命年 (QALYs) 是主要的结果指标,部分使用的是每名患者查或正确诊断的成本.
- 地理分布集中在美国和英国,对生产力,工作流效率或获得护理的评估有限.
结论:
- 放射学AI经济评估的研究设计,比较器和结果测量存在显著差异.
- 需要协调的国际指导和跨学科的合作,以产生可比的证据.
- 未来的研究应该超越诊断准确性和直接成本,包括对负责任的人工智能采用的生产力和工作流结果.
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