与CONSORT-AI指南的一致性在报告随机对照试验调查人工智能在瘤学:一个系统的审查
David Chen1,2, Kristen Arnold3, Ronesh Sukhdeo3
1Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada.
BMJ oncology
|September 9, 2025
概括
在瘤学随机对照试验 (RCT) 中的人工智能 (AI) 的报告显示了方法和可重现性的差距. 标准化报告对负责任地采用AI至关重要,以改善癌症患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 临床试验 临床试验
背景情况:
- 人工智能 (AI) 在瘤学中为临床决策和工作流程自动化提供了潜力.
- 随机对照试验 (RCT) 对于评估人工智能的安全性和有效性至关重要.
- 瘤学AI试验的报告质量需要进行彻底的调查.
研究的目的:
- 系统地审查在瘤学RCT中AI干预的报告一致性.
- 评估遵守CONSORT 2010和CONSORT-AI 2020指南的情况.
- 总结AIRCT在瘤学中的当前情况.
主要方法:
- 对OVID MEDLINE和Embase数据库进行系统审查.
- 包括的研究是癌症患者人工智能干预的RCT.
- 2024年10月22日使用AI,癌症和RCT术语进行的搜索.
主要成果:
- 对瘤学人工智能干预的57个RCT进行了分析,主要用于查 (54%) 和诊断 (19%).
- 与CONSORT 2010和CONSORT-AI 2020的中位对应度为82%.与CONSORT 2010和CONSORT-AI 2020的中位对应度为82%.
- 报告在方法,可重现性 (如输入数据,算法版本) 和损害方面发现的差距,特别是在具有更高偏差风险的试验中.
结论:
- 尽管总体报告良好,但人工智能瘤学RCT中仍然存在方法和可重复性方面的关键差距.
- 标准化报告对于人工智能在癌症护理中的负责任整合至关重要.
- 解决这些报告缺陷可以增强AI对改善患者治疗结果的贡献.
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