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Updated: Jun 27, 2026

Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex
06:04

Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex

Published on: July 4, 2018

扩展基于ICU的非侵入性模型,以预测急诊室的潜在休克:一项探索性研究

Mingzheng Wu1, Shaoping Li1, Haibo Yu1

  • 1Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitaion, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.

Frontiers in cardiovascular medicine
|January 7, 2025
PubMed
概括

一个人工智能 (AI) 模型有效地预测了急诊室 (EDs) 中的潜在冲击. 这种人工智能工具的性能优于早期检测的传统方法,如冲击指数和非侵入性静缩血压 (nSBP).

关键词:
人工智能的人工智能是人工智能.紧急情况部门的急救部门.重症监护病房的重症监护病房是一个重症监护病房.模型模型模型模型模型模型冲击 冲击 冲击 冲击 冲击 冲击

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