遵守TRIPOD+AI指南:更新的报告评估工具
Emilie de Kanter1, Tabea Kaul2, Pauline Heus1
1Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
为个人预测或诊断加人工智能 (TRIPOD+AI) 准则的多变量预测模型的透明报告开发了一个新的合规工具. 该工具确保对人工智能驱动的医学预测模型报告完整性的统一评估.
科学领域:
- 医疗保健研究方法的方法.
- 医疗信息学医学信息学
- 医学中的人工智能
背景情况:
- 不完整的研究报告导致浪费和限制效用.
- 报告指南,如TRIPOD改善医疗保健研究报告.
- TRIPOD被更新为TRIPOD+AI,以整合AI/ML的进展.
研究的目的:
- 为TRIPOD+AI报告准则开发一个更新的合规工具.
- 在使用AI/ML的预测模型研究中提供统一的方法来评估报告的完整性.
主要方法:
- 最初的TRIPOD坚持工具根据TRIPOD+AI指南进行了更新和扩展.
- 通过专家讨论和试点测试,完善了遵守要素和评分规则.
- 为模型开发,评估和综合研究创建了独立的工具.
主要成果:
- 更新后的TRIPOD+AI合规工具包括37个主要项目和136个合规元素.
- 工具中包含了自动评分规则.
- 针对不同类型的研究 (开发,评估,组合) 开发了专门的工具.
结论:
- 一种统一的方法来评估TRIPOD+AI的合规性,有助于进行跨研究的比较.
- 该工具有助于随着时间的推移监测报告质量.
- 它鼓励主要研究作者改善报告合规性.
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