与SPIRIT-AI指导方针的一致性在报告随机对照试验协议调查人工智能在瘤学:一个系统的审查
David Chen1,2, Emily He2, Keiran Pace2
1Princess Margaret Hospital Cancer Centre, Radiation Medicine Program, Toronto, Ontario, Canada M5G 2C4.
The oncologist
|May 27, 2025
概括
这项研究审查了人工智能 (AI) 瘤学随机对照试验 (RCT) 协议与报告准则. 虽然中度高,但AI RCT协议中的差距可能会阻碍可复制性和临床使用.
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) 在瘤学中为诊断,治疗计划和患者管理提供了潜力.
- 人工智能随机对照试验 (RCT) 协议的透明度对于跨临床环境的可重复性至关重要.
- SPIRIT 2013和SPIRIT-AI 2020指南为完整的试验协议报告提供了基于证据的建议.
研究的目的:
- 评估AI干预RCT在瘤学中的协议与SPIRIT 2013和SPIRIT-AI 2020报告准则的一致性.
- 为了确定AI瘤学RCT协议中的特定报告缺口.
主要方法:
- 在Ovid Medline和Embase系统搜索涉及AI在瘤学的同行评审RCT协议.
- 重复选和数据提取以评估与SPIRIT 2013和SPIRIT-AI 2020项目的一致性.
- 测量项目特定和平均一致性 (报告项目的中位数比例).
主要成果:
- 十二个AI瘤学RCT协议符合纳入标准.
- 2013年SPIRIT的中位对应度为81.92%,2020年SPIRIT-AI的中位对应度为78.21%.
- 在SPIRIT 2013 (失明,保留,审判后护理) 和SPIRIT-AI 2020 (数据质量,错误分析,代码可访问性) 中发现的差距.
结论:
- 在瘤学AI RCT协议中,与报告准则的一致性适度高,但不完整.
- 持续的报告缺口可能会阻碍人工智能工具的可复制性和临床实施.
- 提高报告质量对于人工智能在瘤学中的负责任整合至关重要.
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