将人工智能整合到远程医疗中:证据,挑战和未来方向
Martina Rossi1, Shajeel Rehman2
1Research, Private, Strasbourg, FRA.
Cureus
|September 24, 2025
概括
人工智能 (AI) 通过改善诊断和患者监测来增强远程医疗. 诸如偏见和监管等挑战需要解决,以获得公平,可扩展的AI驱动的医疗保健解决方案.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 远程医疗提供远程医疗服务,但面临着工作负载和数据变化等挑战.
- 人工智能 (AI) 为医疗保健中的自动化和增强分析提供了机会.
- 将人工智能整合到远程医疗中引入了伦理,监管和实施障碍.
研究的目的:
- 审查人工智能在远程医疗中的作用.
- 确定人工智能在远程医疗保健中的关键应用,挑战和未来方向.
- 评估人工智能对远程医疗诊断准确性和患者监测的影响.
主要方法:
- 在PubMed和Cochrane图书馆 (2015-2024) 中进行系统的文献搜索.
- 遵守PRISMA指导方针进行研究选择.
- 针对趋势,障碍和创新,对31篇选定的文章进行主题评估.
主要成果:
- 人工智能在皮肤病学 (图像分析) 和眼科 (糖尿病视网膜病变查) 中取得了成功.
- 由人工智能驱动的工具改善了心理健康支持,患者分拣和通过可穿戴设备的持续监控.
- 区块链和分散的人工智能等新兴技术旨在加强远程医疗中的数据保护.
结论:
- 人工智能集成显著提高了远程医疗,提高了诊断准确性和跨专业的远程患者监测.
- 现实世界的验证,伦理考虑,监管合规性和模型通用性仍然是关键挑战.
- 未来的研究应该专注于互操作性,标准化准则和保护隐私的人工智能,以便广泛采用.
关键词:
算法偏差是一种算法偏差.人工智能的人工智能是人工智能.数据隐私 隐私数据 隐私数据数字健康数字健康机器学习是机器学习.远程医疗保健 远程医疗保健 远程医疗保健远程医疗远程医疗穿戴式技术是一种可穿戴技术.更多相关视频
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