调查人工智能应用在息护理和临终关怀中的数据多样性和模型稳定性:范围审查协议
Selen Bozkurt1,2,3, Soraya Fereydooni4, Irem Kar5
1Department of Biomedical Informatics, Emory University, Atlanta, GA, United States.
JMIR research protocols
|October 8, 2024
概括
本范围审查考察了人工智能 (AI) 在息和临终关怀中,重点关注数据多样性和模型稳定性. 它旨在指导人工智能应用程序的伦理开发,以改善患者的生活质量.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 在医疗保健中变得越来越重要,在息和宿舍护理方面取得了进步.
- 人工智能可以增强决策和个性化护理的生命限制疾病患者.
- 将AI整合到这些敏感环境中需要仔细考虑其多方面的性质.
研究的目的:
- 系统地绘制人工智能在息和临终关怀中的使用情况.
- 在AI应用中分析数据多样性和模型稳定性.
- 为人工智能在终身护理中的伦理发展和临床整合提供信息.
主要方法:
- 采用了六个阶段的范围审查过程.
- 在主要数据库 (PubMed,Embase,IEEE Xplore等) 进行了搜索. 在2023年11月1日之前.
- 研究选择,数据提取和利益相关者咨询将确保全面的调查结果.
主要成果:
- 最初的搜索结果为4614项研究; 330项被选中进行全文审查.
- 数据提取和叙事总结正在进行中.
- 该审查预计将于2025年5月完成.
结论:
- 这次审查将增强对人工智能在息和临终关怀环境中的作用的理解.
- 它将确定研究缺口,并指导道德合理的人工智能的开发.
- 这些发现将支持在终身护理中创建有效的AI工具.
关键词:
在这里,我们可以看到AIAIAI.人工智能的人工智能是人工智能.临床环境中的临床环境.数据多样性数据多样性决策支持提供了决策支持.传播 传播 传播生命终端护理服务.伦理框架 伦理框架这里是临终关怀医院.宿舍环境 宿舍环境方法论 方法论 方法论模型的稳定性 模型的稳定性抚慰性护理是一种缓解性护理.专题分析 专题分析更多相关视频
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