环境扫描用于临床和翻译科学的生成AI基础设施
Betina Idnay1, Zihan Xu2, William G Adams3
1Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY USA.
Npj health systems
|January 28, 2025
概括
在临床和翻译科学中采用生成人工智能 (GenAI) 是实验性的,需要协调治理. 解决数据安全,临床医生信任和人工智能偏见对于道德的GenAI实施至关重要.
科学领域:
- 生物医学信息学 生物医学信息学
- 医疗保健中的人工智能
- 翻译科学 翻译科学
背景情况:
- 国家翻译科学进步中心 (NCATS) 支持一个专注于将科学发现转化为临床实践的机构网络.
- 生成性人工智能 (GenAI) 对医疗保健研究和临床应用提出了机遇和挑战.
研究的目的:
- 在CTSA计划网络中对GenAI基础设施进行环境扫描.
- 在36个机构中确定目前的GenAI战略,挑战和需求.
主要方法:
- 使用了一种全面的环境扫描方法.
- 从CTSA计划网络中的36所机构收集数据.
主要成果:
- 大多数机构都处于GenAI部署的实验阶段,表明了各种策略.
- 关键问题包括数据安全 (53%),缺乏临床医生的信任 (50%) 和AI偏见 (44%).
结论:
- 对GenAI治理的协调方法至关重要,涉及领导者,临床医生,IT人员和研究人员之间的合作.
- 解决已确定的问题对于GenAI在翻译科学中的道德和有效实施至关重要.
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