绘制AI概念与能力和例子:在重症监护病房的AI创新
Nur Yildirim1, Susanna Zlotnikov1, Deniz Sayar2
1Carnegie Mellon University, Pittsburgh, PA, USA.
概括
多学科团队可以通过使用设计研讨会来提高人工智能 (AI) 创新. 这种方法有助于确定可构建和可取的AI使用案例,特别是在重症监护医学中.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 关键护理医学 关键护理医学
背景情况:
- 创新团队努力设想可取和可构建的人工智能 (AI) 概念.
- 数据科学 (不需要的创新) 和领域专家 (无法构建的创新) 之间存在着分离.
- 有效的构想是人工智能开发的关键瓶.
研究的目的:
- 探索人工智能概念构想和问题制定的有效方法.
- 介绍一下为重症监护医学设计人工智能概念的第一手记录.
- 确定多学科团队生成可构建和可取的AI用例的方法.
主要方法:
- 与多学科团队 (数据科学家,临床医生,HCI研究人员) 进行了一系列设计研讨会.
- 探索了人工智能概念构想和问题制定的有效方法.
- 记录了过程,挑战和有效的实践和文物.
主要成果:
- 在不同专家组的AI概念构想中确定了挑战.
- 开发和测试实践和文物,以促进有效的AI创意.
- 展示了结构化的方法来弥合技术可行性和用户可取性之间的差距.
结论:
- 有效的AI构想需要多种利益相关者之间的结构化协作.
- 人与计算机交互 (HCI) 可以在降低人工智能创新失败率方面发挥关键作用.
- 提出的方法为改善利益相关者参与和在重症监护医学中开发AI提供了一条途径.
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