Robotics & Machine Learning Daily News2024,Issue(Jul.2) :35-36.

Norwegian University of Science and Technology (NTNU) Reports Findings in Artifi cial Intelligence (The prognostic importance of traumatic axonal injury on early MRI: the Trondheim TAI-MRI grading and quantitative models)

挪威科技大学(NTNU)报道了人工智能的发现(创伤性轴索损伤在早期MRI中的预后重要性:Trondheim Tai-MRI分级和定量模型)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :35-36.

Norwegian University of Science and Technology (NTNU) Reports Findings in Artifi cial Intelligence (The prognostic importance of traumatic axonal injury on early MRI: the Trondheim TAI-MRI grading and quantitative models)

挪威科技大学(NTNU)报道了人工智能的发现(创伤性轴索损伤在早期MRI中的预后重要性:Trondheim Tai-MRI分级和定量模型)

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者来自挪威Trond Heim的新闻报道,研究表明:“我们分析了(MRI)创伤性脑损伤后的磁共振成像结果(TBI),旨在提高创伤轴突损伤的分级(TAI),以更好地反映预后。463名(8-70岁)轻度(n=158)、中度(n=129)或重度(n=176)TBI患者和早期MRI患者被前瞻性纳入。”这项研究的财政支持来自EraNet Neuron。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Trond heim, Norway, by NewsRx correspondents, research stated, “We analysed magnetic r esonance imaging (MRI) findings after traumatic brain injury (TBI) aiming to imp rove the grading of traumatic axonal injury (TAI) to better reflect the outcome. Four-hundred sixty-three patients (8-70 years) with mild (n = 158), moderate (n = 129), or severe (n = 176) TBI and early MRI were prospectively included.” Financial support for this research came from EraNet Neuron.

Key words

Trondheim/Norway/Europe/Artificial In telligence/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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