关于研究开发和使用人工智能模型的综合报告准则和检查清单
1Department of Medical Statistics, Daegu Catholic University School of Medicine, Daegu, Korea.
Korean journal of anesthesiology
|June 5, 2025
概括
新的指导方针和检查清单标准化了医疗保健研究中的人工智能 (AI) 报告. 这确保了透明度,可重现性和道德AI应用,无论研究设计如何.
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
- 临床研究方法论 临床研究方法论
背景情况:
- 医疗保健中人工智能 (AI) 的快速发展需要标准化的报告.
- 目前的标准受到研究设计特异性的限制.
- 需要为AI开发和在临床研究中使用的全面指导方针.
研究的目的:
- 制定全面的指导方针和检查清单,用于报告医疗保健中的AI模型研究.
- 涵盖人工智能研究的所有基本组成部分,无论研究设计如何.
- 提高AI应用的透明度,可重复性和道德性.
主要方法:
- 由生物统计学专家开发的指导方针和检查清单.
- 确定和结构化了AI模型报告的关键元素.
- 临床医生和研究人员的反复审查和反.
主要成果:
- 为人工智能模型报告创建了一个详细的检查清单.
- 这些指导方针涵盖研究设计,数据,模型培训,评估,伦理和实施.
- 提供了有关AI规范和数据处理的全面细节.
结论:
- 这些指导方针和检查清单是人工智能在医疗保健研究中的宝贵工具.
- 促进可靠性,问责和道德的人工智能使用.
- 解决人工智能报告的关键方面,以提高研究完整性.
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