人工智能用于心胸监测和心声回声学
John M Bryant1, Christina A Jelly, Miklos D Kertai
1Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Current opinion in anaesthesiology
|December 12, 2025
概括
人工智能 (AI) 正在推动心胸麻醉监测在整个外科护理. 虽然对精度和效率有希望,但人工智能集成需要验证和以患者为中心的安全原则.
科学领域:
- 麻醉学 麻醉学
- 人工智能的人工智能
- 心胸外科手术 心胸外科手术
背景情况:
- 心胸麻醉监测是一个复杂的领域,需要持续警.
- 技术进步对于改善高风险手术环境中的患者结果至关重要.
研究的目的:
- 审查人工智能 (AI) 应用在心胸麻醉监测方面的最新进展.
- 探索人工智能对心胸外科手术中外科护理的潜在影响.
主要方法:
- 对当前人工智能技术及其在麻醉中的应用进行文献综述.
- 分析AI在术前,术后和术后阶段的作用.
- 检查人工智能对心声回声和数据解释的影响.
主要成果:
- 人工智能在所有外科手术前阶段都显示出潜力,包括风险分层和心声回声.
- 目前的人工智能应用处于临床整合的早期阶段,需要进一步验证.
- 机器学习和自然语言处理显示出对加强监控和管理的承诺.
结论:
- 人工智能,特别是机器学习和自然语言处理,将对心胸麻醉产生重大影响.
- 这些技术提供了提高精度,效率和个性化患者护理的潜力.
- 临床整合必须优先考虑以患者为中心和安全,并与技术进步相结合.
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