Robotics & Machine Learning Daily News2024,Issue(Nov.29) :40-41.

China Medical University Reports Findings in Hematoma (Computer tomography-based radiomics combined with machine learning for predicting the time since onset of epidural hematoma)

中国医科大学报告血肿发现(基于计算机断层摄影的放射组学结合机器学习预测硬膜外血肿发生时间)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :40-41.

China Medical University Reports Findings in Hematoma (Computer tomography-based radiomics combined with machine learning for predicting the time since onset of epidural hematoma)

中国医科大学报告血肿发现(基于计算机断层摄影的放射组学结合机器学习预测硬膜外血肿发生时间)

扫码查看

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-关于血肿的新研究是一篇报道的主旨。根据新闻报道来自中国人民共和国辽宁,由NewsRx记者报道,研究称,“估计”硬膜外血肿年龄(EDH)是临床法医学面临的一个挑战,而这一问题尚未最终解决。客观性和非侵入性的优点使计算成为可能断层扫描(CT)成像是活体EDH的潜在诊断方法。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Hematoma is the subjec t of a report. According to news reportingoriginating from Liaoning, People’s R epublic of China, by NewsRx correspondents, research stated, “Estimationof the age of epidural hematoma (EDH) is a challenge in clinical forensic medicine, and this issuehas yet to be conclusively resolved. The advantages of objectivity a nd non-invasiveness make computingtomography (CT) imaging an potential diagnost ic method for EDH in living individuals.”

Key words

Liaoning/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Health and Medicine/Hematoma/Machine Learn ing

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文