Robotics & Machine Learning Daily News2024,Issue(Dec.4) :124-125.

University of Cologne Reports Findings in Artificial Intelligence (Feasibility o f real-time compression frequency and compression depth assessment in CPR using a 'machine-learning' artificial intelligence tool)

科隆大学报告了人工智能的发现(在心肺复苏中使用“机器学习”人工智能工具实时压缩频率和压缩深度评估的可行性)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :124-125.

University of Cologne Reports Findings in Artificial Intelligence (Feasibility o f real-time compression frequency and compression depth assessment in CPR using a 'machine-learning' artificial intelligence tool)

科隆大学报告了人工智能的发现(在心肺复苏中使用“机器学习”人工智能工具实时压缩频率和压缩深度评估的可行性)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-人工智能的新研究e是一个报告的主题。根据NewsRx记者源自德国科隆的新闻报道,研究称,“视频辅助”心肺复苏(V-CPR)能有效提高心肺复苏的质量和患者结果,因为紧急医疗服务(EMS)调度员可以使用呼叫者的视频流进行CPR场景中的诊断目的和指示。然而,环管系统面临的新挑战视频引导CPR(V-CPR)期间的调度员,例如分析视频流,向呼叫者和管理压力需要创新的解决方案。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting originating in Cologne , Germany, by NewsRx journalists, research stated, “Video assistedcardiopulmona ry resuscitation (V-CPR) has demonstrated to be efficient in improving CPR quali ty andpatient outcomes, as Emergency Medical Service (EMS) dispatchers can use the video stream of a caller fordiagnostic purposes and give instructions in a CPR scenario. However, the new challenges faced by EMSdispatchers during video- guided CPR (V-CPR)-such as analyzing the video stream, providing feedback tothe caller, and managing stress-demand innovative solutions.”

Key words

Cologne/Germany/Europe/Artificial Int elligence/Cyborgs/Emergency Treatment/Emerging Technologies/Health and Medic ine/Machine Learning/Resuscitation/Software

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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