麻醉中的人工智能:通过数据驱动系统提高精度,安全性和全球访问性
Rakshita Giri1, Shaik Huma Firdhos1, Thomas A Vida1
1Kirk Kerkorian School of Medicine, University of Nevada Las Vegas, 25 Shadow Lane, Las Vegas, NV 89106, USA.
Journal of clinical medicine
|October 16, 2025
概括
麻醉学中的人工智能 (AI) 使用适应性,闭环系统来精确地提供麻醉剂. 这些人工智能工具提高了患者的安全和恢复,同时解决了伦理和访问挑战.
科学领域:
- 麻醉学 麻醉学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 麻醉学在准确性,安全性和响应性方面面临着挑战.
- 手动麻醉管理可能不一致,反应不佳.
- 人工智能提供适应性系统来增强临床实践.
研究的目的:
- 审查人工智能 (AI) 在麻醉学中的整合.
- 专注于闭环系统及其自主控制能力.
- 讨论人工智能在麻醉中的好处,挑战和未来.
主要方法:
- 审查人工智能在麻醉实践中的整合,重点关注闭环系统.
- 分析连续的生理输入 (BIS,EEG,心率,血压) 以实时定位.
- 检查预测算法和人工智能在重症监护和全球卫生中的应用.
主要成果:
- 由人工智能引导的闭环系统提供了更一致和响应的麻醉管理.
- 预测算法可将手术内低血压降低高达40%.
- 人工智能系统改善了麻醉深度维护,缩短了恢复时间,并支持重症监护镇静.
结论:
- 人工智能通过提高精度,安全性和响应性来增强麻醉学.
- 人工智能引导的系统增强了临床医生的能力,使得个性化麻醉治疗成为可能.
- 解决道德,法律和访问挑战对于在麻醉中广泛采用AI至关重要.
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