人工智能增强的患者评估:艺术与科学之间的桥梁
Evangelos K Oikonomou1, Rohan Khera1,2,3,4
1Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 333 Cedar Street, PO Box 208017, New Haven, 06520-8017 CT, USA.
European heart journal
|July 8, 2024
概括
人工智能 (AI) 和数字健康工具显示出通过整合多种数据源来增强临床护理的潜力. 然而,为了在患者评估中广泛采用,必须解决实际,伦理和监管方面的障碍.
科学领域:
- 数字健康数字健康
- 医学中的人工智能
- 临床信息学是一种临床信息学.
背景情况:
- 尽管数字健康和人工智能的进步,传统的患者评估方法仍然存在.
- 人工智能增强的工具正在出现,以增强临床接触,转向数据驱动的流程.
- 目前的临床工作流程尚未完全整合了变革性的数字健康技术.
研究的目的:
- 为AI在增强传统临床实践中的作用提供基于证据的愿景.
- 为了说明数字技术如何被整合到日常工作流程中,以实现个性化医疗和高效的护理.
- 探索人工智能设备在改变患者评估方面的潜力.
主要方法:
- 审查当前在医疗保健中的AI应用.
- 分析人工智能工具如何增强历史记录和体检的分析.
- 检查来自人工智能支持的耳语镜,摄像头和可穿戴传感器的数据.
- 讨论将数字技术整合到临床工作流程中.
主要成果:
- 人工智能应用程序可以简化任务,并纳入各种数据流 (例如,支持人工智能的耳机,可穿戴设备).
- 数字工具为个性化医疗和高效的护理提供了一条途径.
- 这些技术的整合可以建立一个新的纵向患者监测范式.
结论:
- 人工智能和数字健康工具对于彻底改变患者评估和临床护理具有重大前景.
- 成功的整合需要解决实际,伦理和监管方面的挑战.
- 由人工智能增强的数据驱动方法可以增强传统医疗实践.
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