人工智能在医疗器械中的应用,用于个性化医疗保健解决方案:系统审查
Hemanth Ponnambalath Mohanadas1, A Manikandan2, Ahmad Fauzi Ismail3
1Device Development, Abbott Diabetes Care, Alameda, CA, United States.
Journal of medical Internet research
|March 11, 2026
概括
医疗设备中的人工智能 (AI) 个性化治疗,以获得更好的结果. 解决数据质量,偏见和法规是AI的关键.
科学领域:
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
- 个性化医疗是个性化的医疗.
背景情况:
- 人工智能在医疗设备中的集成增强了个性化和精确的医学.
- 人工智能根据患者数据 (遗传学,病史,生理学) 量身定制治疗方法.
- 挑战包括数据质量,偏见,隐私和监管障碍.
研究的目的:
- 在医疗设备中探索AI驱动的个性化.
- 分析AI整合的创新,挑战和战略.
- 突出未来的研究和创新机会.
主要方法:
- 对文献的系统审查,行业分析和监管咨询 (2016-2023年).
- 分析了100多篇同行评审的文章和报告.
- 审查伦理,技术和监管方面的考虑.
主要成果:
- 人工智能在诊断方面的进步 (例如,X射线分类的准确性为98.88%) 和治疗个性化.
- 确定了关键挑战:数据安全,算法偏见,监管约束.
- 人工智能自动化可以减少多达50%的诊断延迟.
结论:
- 医疗设备中的AI提供精确,适应性,以患者为中心的医疗保健解决方案.
- 解决技术,道德和监管方面的挑战对于实施至关重要.
- 量子计算和区块链等新兴技术可以增强人工智能能力.
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