低血压预测指数和机器学习方法在手术内低血压中的预测能力:系统性审查和元分析
Ida Mohammadi1, Shahryar Rajai Firouzabadi1, Melika Hosseinpour1
1Cardiovascular Surgery Research and Development Committee, Iran University of Medical Sciences (IUMS), Tehran, 14665-354, Iran.
人工智能 (AI) 可以有效地预测手术内低血压 (IOH). 低血压预测指数 (HPI) 显著降低了IOH的持续时间和严重程度,显示出强大的预测性能.
科学领域:
- 麻醉学和外科手术期间的医学.
- 医疗人工智能 医疗人工智能
- 临床信息学 临床信息学
背景情况:
- 术内低血压 (IOH) 是一个重要的手术风险.
- 人工智能 (AI) 提供了增强IOH检测和改善患者治疗结果的潜力.
- 在手术环境中,有效的实时监控至关重要.
结论:
- 低血压预测指数 (HPI) 在预测和降低手术内低血压方面表现出极好的能力.
- 其他人工智能模型,包括深度学习,也显示出IOH预测的前景.
- 需要进一步的研究来澄清非HPI AI模型对IOH相关指数 (如持续时间) 的影响.
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