人工智能算法优化和应用在基于患者的实时质量控制 (PBRTQC) 中
Bowen Su1, Yanpeng Zhang1, Xiaomin Shi2
1Department of Laboratory Medicine, Peking University First Hospital, Beijing 100034, China; School of Basic Medical Sciences, Peking University, Beijing 100191, China.
概括
人工智能 (AI) 增强了临床实验室的基于患者的实时质量控制 (PBRTQC). 本综述详细介绍了人工智能驱动的PBRTQC应用程序,挑战和智能实验室监控的未来趋势.
科学领域:
- 临床实验室科学 临床实验室科学
- 医疗保健中的人工智能
- 质量管理系统 质量管理系统
背景情况:
- 基于患者的实时质量控制 (PBRTQC) 对于临床实验室质量管理至关重要.
- 传统的PBRTQC依赖于统计方法来监测患者测试数据.
- 人工智能 (AI) 的快速发展为PBRTQC创新提供了新的机会.
研究的目的:
- 系统地审查人工智能驱动的PBRTQC算法优化的进展情况.
- 详细介绍AI-PBRTQC监测平台的临床应用.
- 分析挑战并探索AI-PBRTQC实施的未来趋势.
主要方法:
- 对人工智能驱动的PBRTQC算法进步进行系统审查.
- 详细说明AI-PBRTQC的临床应用.
- 深入分析实施挑战和未来发展趋势.
主要成果:
- 人工智能正在将PBRTQC从传统统计转变为智能监控.
- AI-PBRTQC的应用包括早期预警,交叉设置监控,精确控制和异常纠正.
- 关键的挑战包括技术限制,人才短缺,系统兼容性和监管滞后.
结论:
- 人工智能显著优化了PBRTQC,提高了临床实验室质量管理.
- 解决实施挑战对于AI-PBRTQC的广泛采用至关重要.
- 未来的趋势指向进一步的智能升级和在PBRTQC中更广泛地应用AI.
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