负责的人工智能治理在瘤学.
Peter D Stetson1, January Choy2, Natalia Summerville2
1Memorial Sloan Kettering (MSK) Cancer Center, New York, NY, USA. stetsonp@mskcc.org.
NPJ digital medicine
|July 4, 2025
概括
本研究介绍了负责的人工智能 (AI) 治理瘤学模型,解决了缺乏特定框架的问题. 它详细介绍了人工智能治理委员会第一年的结果,包括26个人工智能模型和新的管理工具.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在医疗保健,特别是瘤学中的应用正在加速.
- 现有的AI框架是通用的,缺乏针对瘤学的专门治理.
- 在癌症护理中,急需强大的AI治理模型.
研究的目的:
- 报告综合癌症中心的临床,运营和研究应用的负责任人工智能治理模型.
- 分享人工智能治理委员会活动第一年的成果.
- 引入用于瘤学人工智能治理的新工具和方法.
主要方法:
- 成立了一个AI治理委员会来监督AI的实施.
- 注册和监控了26个AI模型,包括大型语言模型和环境AI飞行员.
- 审查了33个名ograms并开发了管理工具:程序模型,信息表,风险评估和生命周期管理.
- 利用案例研究和"快速通道"方法来选择AI模型.
主要成果:
- 在一年内成功实施了负责任的AI治理模型.
- 管理了26个AI模型,2个环境AI飞行员,并审查了33个名ograms.
- 开发和共享新的AI治理工具和"快速通行证"方法.
- 确定了人工智能治理对瘤学的关键经验教训和开放研究问题.
结论:
- 本报告介绍了在瘤学领域首个全面,大规模的负责任人工智能治理模型之一.
- 开发的模型和工具为管理癌症护理中的AI提供了一个可扩展的框架.
- 需要进一步的研究来解决不断发展的人工智能技术及其在瘤学中的治理问题.
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