医疗机构如何与商业初创公司共同创建人工智能解决方案?
Willem Grootjans1, Uliana Krainska2, Mohammad H Rezazade Mehrizi3
1Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands. w.grootjans@lumc.nl.
European radiology
|June 3, 2025
概括
放射学部门可以使用一个新的框架来改善人工智能 (AI) 与科技公司的共同创造. 这种关系框架有助于指导合作,确保AI解决方案满足临床需求并增强工作流程.
科学领域:
- 医疗信息学 医疗信息学
- 放射学中的人工智能
- 卫生技术共同创作 卫生技术共同创作
背景情况:
- 放射科部门越来越多地采用人工智能 (AI) 解决方案.
- 商业AI应用往往与特定部门的需求不一致,需要共同创作.
- 在医疗保健中共同创建人工智能解决方案的过程未得到充分研究,缺乏指导框架.
研究的目的:
- 检查在放射学中共同创建AI解决方案的过程.
- 确定挑战,并制定监测,评估和指导医疗和技术各方之间的合作框架.
- 为AI在临床实践中的有效联合创建策略提供见解.
主要方法:
- 荷兰一个学术医疗中心的三个共同创作项目的多个案例研究.
- 基于"资源","适应"和"重新配置"等级的共同创造过程的分析.
- 开发一个关系框架,以指导和评估人工智能共同创作合作.
主要成果:
- 开发了一个关系框架来监控,评估和指导人工智能共同创作合作.
- 该框架有助于发现新的用例,并重新评估现有的假设和实践.
- 确定了具有不同结果的独特的共同创造旅程,并将其映射到诊断和指导的框架中.
结论:
- 在人工智能开发中,共同创造的结果可能是高度可变的.
- 拟议的框架有助于医疗机构和技术公司评估挑战并调整合作.
- 这一框架有助于引导共同创造过程朝着所需的临床和技术目标发展.
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