Robotics & Machine Learning Daily News2024,Issue(Jun.7) :47-48.

Findings from University Hospital Heidelberg Yields New Findings on Stroke (Clin ical Value of Automated Volumetric Quantification of Early Ischemic Tissue Chang es On Non-contrast Ct)

海德堡大学医院的发现对卒中有新的发现(Ct平扫早期缺血组织自动容积定量的临床价值)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :47-48.

Findings from University Hospital Heidelberg Yields New Findings on Stroke (Clin ical Value of Automated Volumetric Quantification of Early Ischemic Tissue Chang es On Non-contrast Ct)

海德堡大学医院的发现对卒中有新的发现(Ct平扫早期缺血组织自动容积定量的临床价值)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了脑血管疾病和状况-中风的新数据。根据NewsRx记者从德国何伊德尔伯格发来的消息,研究称,“在非增强CT(NC CT)上对早期缺血性变化进行定量和自动化容积评估,最近被提出作为一种新的工具,用于改善接受血管内治疗的急性缺血性卒中患者(AIS)的预后。我们旨在将其与艾伯塔卒中计划Early CT评分(ASPECTS)在大型单机构患者队列中的临床价值进行比较。”这项研究的资金来自海德堡大学医学院的医生-科学家项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Cerebro vascular Diseases and Conditions - Stroke. According to news originating from He idelberg, Germany, by NewsRx correspondents, research stated, “Quantitative and automated volumetric evaluation of early ischemic changes on non-contrast CT (NC CT) has recently been proposed as a new tool to improve prognostic performance i n patients undergoing endovascular therapy (EVT) for acute ischemic stroke (AIS) . We aimed to test its clinical value compared with the Alberta Stroke Program E arly CT Score (ASPECTS) in a large single-institutional patient cohort.” Financial support for this research came from Physician-Scientist Program of the Medical Faculty of the University of Heidelberg.

Key words

Heidelberg/Germany/Europe/Cerebrovasc ular Diseases and Conditions/Cyborgs/Emerging Technologies/Health and Medicin e/Machine Learning/Stroke/University Hospital Heidelberg

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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