Liaoning University of Traditional Chinese Medicine Reports Findings in Artifici al Intelligence (Correlation between oxygenation function and laboratory indicat ors in COVID-19 patients based on non-enhanced chest CT images and construction of ...)
Liaoning University of Traditional Chinese Medicine Reports Findings in Artifici al Intelligence (Correlation between oxygenation function and laboratory indicat ors in COVID-19 patients based on non-enhanced chest CT images and construction of ...)
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。据新闻报道本文来源于沈阳，由NewsRx Research记者报道“通过提取COVID-19例患者的早期胸部CT放射学特征，我们探讨了它们之间的相关性。”以实验室指标和氧合指数(PaO/FiO)为指标,研制了一种人工智能基于放射学特征的(AI)模型预测COVID-19氧合功能恶化病人这项前瞻性研究包括384例COVID-19患者，其基线信息，收集实验室指标、氧相关参数和非增强CHES T CT图像。
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 to newsreporting originating from Sheny ang, People’s Republic of China, by NewsRx correspondents, researchstated, “By extracting early chest CT radiomic features of COVID-19 patients, we explored th eir correlationwith laboratory indicators and oxygenation index (PaO/FiO), ther eby developed an Artificial Intelligence(AI) model based on radiomic features t o predict the deterioration of oxygenation function in COVID-19patients. This r etrospective study included 384 patients with COVID-19, whose baseline informati on,laboratory indicators, oxygenation-related parameters, and non-enhanced ches t CT images were collected.”
Key words
Shenyang/People’s Republic of China/As ia/Artificial Intelligence/COVID-19/COVID-19 Model/Coronavirus/Disease Mode l/Emerging Technologies/Epidemiology/Machine Learning/RNA Viruses/Risk and Prevention/SARS-CoV-2/Severe Acute Respiratory Syndrome Coronavirus 2/Viral/Virology
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