对于困难的气道评估的人工智能:通过元分析进行系统审查的协议
Weiyi Zhang1, Li Du2, Yujie Huang1,3
1Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
BMJ open
|June 11, 2025
概括
本系统审查协议概述了一项计划,用于评估人工智能 (AI) 进行困难的气道评估. 目标是确定人工智能.
科学领域:
- 医疗信息学 医疗信息学
- 麻醉学 麻醉学
- 人工智能在医学中的应用
背景情况:
- 精确的难以呼吸道评估对于在呼吸道管理期间的患者安全至关重要.
- 人工智能 (AI) 在预测困难的呼吸道方面表现有前途,但其诊断性能尚不清楚.
- 现有研究往往受到小样本大小和不一致的方法的困扰.
研究的目的:
- 系统地审查和元分析人工智能算法的诊断价值,以进行困难的气道评估.
- 为AI在识别呼吸道困难患者的准确性提供全面的评估.
主要方法:
- 系统地搜索多个英语和中文数据库和临床试验登记册,直到2025年1月.
- 对诊断准确性指标的元分析,包括灵敏度,特异性和AUC.
- 对偏见风险,证据质量,异质性和出版偏见的评估.
主要成果:
- 本节不适用,因为该研究是系统审查和元分析的协议.
- 结果将在数据收集和分析后确定.
结论:
- 本系统审查协议旨在澄清AI在困难的气道评估中的诊断准确性.
- 这些发现将为人工智能工具的临床应用提供信息,以改善呼吸道管理中的患者安全.
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